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Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description:Our 2026 Co-Op program is an excellent opportunity for rising 2026 graduates to gain deep, hands-on experience in a mission-driven and innovative engineering environment. This paid, full-time program spans multiple months during the academic year, offering extended immersion in real-world hardware development and testing. The co-op will directly contribute to hardware development that reaches customers and is deployed in the field. Their primary focus will be designing and executing a test plan to characterize and integrate RF sensor systems under the guidance of a senior engineer. Depending on interests and project needs, the intern may also explore areas such as antenna design, radio/GPS testing, signal integrity, or analog filter design. The ideal start date is January 2026, and the end date is flexible.What you'll do:Design an RF sensor system evaluation and test plan to characterize RF performance.Participate in RF system debug, troubleshooting, and root-cause analysis; assist in part selection and design contributions.Project Deliverables:A complete RF system characterization plan document capturing test methodology, findings, and recommendations.A final test report demonstrating characterization of the RF sensor system on V-BAT.How This Supports the Intern’s Career Path:Offers exposure to real-world engineering design challenges and constraints.Builds confidence in applying classroom knowledge to practical RF/electrical engineering problems with mentorship.Required qualifications:Hands-on experience with oscilloscopes, spectrum analyzers, and other standard electrical lab equipment.Strong math and analytical background.Detail-oriented approach to testing and documentation.Programming/scripting with Python or MATLAB for data analysis and automation.Prior exposure to RF circuits (filters, antennas, impedance matching).Must be a rising senior, rising master’s or PhD graduate, preparing to graduate Spring 2026Pursuing a degree in electrical engineering or equivalentStrong understanding of electrical fundamentals.A demonstrated history of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.Have a passion for solving tough problems on a fast-paced team. 40 - 56Rising Bachelor's graduate = $40/hourRising Master's graduate = $45/hourRising PhD graduate = $56/hour+ Housing stipend provided for those who qualify. This role may also be eligible for certain benefits like PTO, 401k, healthcare, etc.#intern Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.The NiCE Public Safety & Justice business helps all types of public safety and criminal justice agencies, from emergency communications and police to prosecutors and courts, digitally transform how they manage digital evidence and data from beginning to end, to get to the truth faster. NiCE’s Evidencentral platform features an ecosystem of integrated technologies that bring data together to give a single view of the truth, enabling public safety and justice agencies to do what they do better – whether it’s responding to incidents, investigating, and building cases, or prosecuting crimes.  So, what’s the role all about? A NiCE Public Safety Account Executive's primary objective is to successfully win new business by positioning NiCE and its solution portfolio with prospects and partners within the Public Safety sector, specifically with Police Agencies, District Attorneys/Prosecutors, Public Defenders, Courts and State Prisons. This position covers Florida and the Carolinas. This person will work with the various functions within the company such as: Account Executives on the 911 side of Public Safety business, Solutions Engineering, Business Development, Project Management, Legal, Marketing, Professional Services, Customer Success and Customer Support. This Account Executive will also work with various premier partners outside of our organization in order to gain appointments with prospects to win new business. How will you make an impact?  Achieve assigned sales quota(s) by: (a) selling directly to assigned prospect account targets and (b) supporting the sales efforts of in-territory Partner channels Formulate sales tactics and strategies resulting in market share growth Execute on prospecting/lead generation/cold calling/networking to uncover new sales opportunities Adhere to pre-defined sales process. Ensure opportunities in Salesforce are kept current and align to sales process Achieve weekly sales call activity standards enough to develop a strong pipeline Consistently translate weekly activity into a process of creating sales pipeline that supports the achievement of assigned sales quota(s) Manage and develop existing partner relationship channels Continually learn market needs and future trends in the Public Safety sector Develop and deliver compelling presentations to end users, partners and consultants Work with Sales Engineering team to ensure solution configurations are designed correctly and will maximize the customer’s investment Sell NiCE value, differentiating between NiCE and its competitors when presenting value proposition to potential and existing customers Maintain existing customer relationships with the goal of maximizing revenues long term through relationship building, use them as strong referral sources Have you got what it takes? At least 5 years’ experience selling into Government verticals and/or into the overall Public Safety/Security industry Proven track record of success in working with Business Partners, Systems Integrators and end users Experience in working with government Purchasing personnel related to RFP/Bid responses and state and/or federal contracts Documented history of attaining or exceeding sales quotas Proven consultative selling style with experience in proposal preparation Strong technical knowledge Excellent communication and presentation skills Proven creative problem solving skills Strong desire to win and close business Experience working with and influencing high end decision makers Travel requirement will be 30-50% per month within assigned territory You will have an advantage if you also have: Experience/knowledge of CCaaS, CX, and Conversational AI solutions. Experience/knowledge selling a full suite of SaaS products.  Minimum of 1-2 years selling AI Software Solutions Strong understanding of AI technology & its applications What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Requisition ID: 8017 Reporting into: RVP Public Safety Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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Who we are Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time. Who you are Metropolis is seeking a transformative Accounting Manager to help lead our accounting function, focusing on corporate business operations and financial reporting. This role is crucial for modernizing accounting operations through process automation, scalable processes, and real-time analytics. You will participate in managing the general ledger and financial reporting, drive process improvement, and ensure compliance and participate in the annual audit. The successful candidate will utilize AI and Robotic Process Automation (RPA) to optimize workflows, automate tasks, and enhance efficiency. You will also help lead and develop a team of staff and senior accountants, fostering growth and operational excellence. What you'll do Complete month-end close activities accurately and according to department deadlines Help lead and mentor a team of staff and senior accountants, providing guidance, training, and performance feedback Identify opportunities to improve efficiency through automation and AI-driven tools in accounting workflows Collaborate with finance systems and data teams to implement automated reporting and reconciliation solutions Prepare and post journal entries; collect, analyze, and record data to general ledger system Record accruals, expense allocations, and month-end true-ups Review and reconcile balance sheet accounts monthly; assist with the monthly budgetary process for reporting and variance analysis Maintain financial historical records by filing accounting documents and related support Work closely with internal and external departments to ensure financial transactions are properly recorded and complete; answer accounting and financial questions by researching and interpreting data Participate in year-end audit to compile and prepare supporting schedules, work papers, and financial reports What we're looking for 7+ years of accounting experience Bachelor’s degree in accounting from an accredited university 2+ years of prior leadership experience within an accounting organization Ability to manage time for multiple tasks to meet established deadlines Excellent oral and written communication skills Ability to work with a low-ego, highly collaborative, cross-functional team Experience with accounting automation, AI-enabled analytics tools, or process optimization through technology (e.g., RPA, AI-based reconciliation, or workflow automation) Strong interest in leveraging AI and emerging technologies to enhance financial operations While not required, these are a plus: Experience in real estate CPA certification When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $115,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-OnsiteMetropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

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At Black Forest Labs, we’re on a mission to advance the state of the art in generative deep learning for media, building powerful, creative, and open models that push what’s possible. Born from foundational research, we continuously create advanced infrastructure to transform ideas into images and videos. Our team pioneered Latent Diffusion, Stable Diffusion, and FLUX.1 – milestones in the evolution of generative AI. Today, these foundations power millions of creations worldwide, from individual artists to enterprise applications. The Role We are looking for generalist software engineers with a strong background from model hosting and serving to frontend engineering. Prior experience with diffusion models is a plus. You should enjoy working with customers, better understand their needs and assist them with BFL models, for instance with help for finetuning FLUX models for their specific use case. As a Forward Deployed Engineering Generalist for BFL you will: Design and implement deep product integrations for customers, and help them with model hosting, finetuning, deployment and inference optimization Together with BFL’s customers, design and implement intuitive and interactive user interfaces on top of existing or new integrations of FLUX models Help customers to set up FLUX models in their services and ensure an strong performance in terms of latency and output quality, both for on premise deployments and BFL-hosted integrations. Meet with customers to identify gaps and pain points, assess their needs for BFL’s solutions, and help them to decide between BFL-hosted and on premise deployments Collaborate with customers to identify relevant use cases and find innovative solutions for solving these Identify expansion potentials for BFL’s technologies into new industry sectors across the globe Ideal experience Experience in working directly with customers, iterating on solutions and providing tailored support for serving generative AI models Proven track record in software/forward deployed engineering Ability to work on a broad class of engineering problems, from model hosting and backend engineering to building intuitive frontends and UI Proficiency in Python and understanding of API integrations to implement basic functionality and help customers with prototyping/demo building. Experience in explaining and summarizing sophisticated technical concepts to both technical and non-technical audiences Excellent communication skills and experience in collaborating with non-technical stakeholders internally and externally, and the ability to adapt messaging to different audiences and explain complex technical concepts in simple terms with technical and non-technical audiences Nice to have Prior knowledge about diffusion models and/or flow matching, and relevant finetuning and distillation techniques Experience in using common open source tooling around from the FLUX ecosystem such as ComfyUI and common trainer frameworks Experience with inference optimizations for transformer based machine learning models Proven ability to architect solutions in complex enterprise environments Contributed to open-source projects in particular in the space of diffusion models Experience with cloud platforms and state of the art deployment solutions for diffusion models   Base Annual Salary: $180,000 - $300,000 USD   

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About MagicalMagical is an agentic automation platform bringing state-of-the-art AI to healthcare—delivering AI agents that actually work in production.We're building "AI employees" that automate the repetitive, time-consuming workflows that slow teams down. Our focus is healthcare—a $4 trillion industry buried in administrative complexity—where we automate claims processing, prior authorizations, and eligibility checks, enabling providers to focus on patient care.Our TractionThe shift to agentic automation in healthcare is inevitable, and we're leading it:• Scaled from $1M to $4M ARR in the first 6 months of our new agentic platform• Accelerating growth with customers expanding into new workflows before renewal• 7-day proof-of-concepts that demonstrate real value fast• Self-healing automations with production-grade reliabilityUnlike many AI companies making bold promises, we ship reliable solutions that deliver measurable results. We're backed by Greylock, Coatue, and Lightspeed with $41M raised. Our founder, Harpaul Sambhi, is a second-time founder who successfully sold his first company to LinkedIn.About the RoleAs a Senior Product Engineer on the Builder Experience team, you'll build the full-stack features that empower teams to create, configure, and deploy AI agents. You'll own the entire product surface—from intuitive no-code interfaces for agent configuration to real-time monitoring dashboards and evaluation tools.This role is for engineers who love building delightful product experiences and understand that great UX is what makes powerful technology accessible. You'll work closely with customers and our design team to ship features that make agent development feel magical, while deeply understanding the underlying agent systems to build the right abstractions.In this role, you will• Build beautiful, intuitive full-stack features for agent configuration, testing, and deployment• Design and implement no-code tools that allow non-technical users to guide and evaluate AI agents• Create real-time monitoring and debugging experiences that surface agent behavior clearly• Build simulation and evaluation interfaces that help teams ensure their agents work correctly• Own the agent development workflow end-to-end, from initial creation through production deployment• Work directly with customers to understand their needs and rapidly iterate on solutionsYour background looks something like this• Have 4+ years of full-stack product engineering experience, with strong proficiency in TypeScript and React• Track record of shipping polished, user-facing features that customers love• Strong bias towards action and embody "show > tell"—you ship features and iterate quickly• High degree of agency: you effectively prioritize, unblock yourself, and drive projects forward without much outside input• Value taking ownership and responsibility for your features and the user experience• Studied Computer Science (or related field), or dropped out to build stuff• Located in SF or willing to relocateEven better• Prior experience building AI-powered products or developer tools• A sharp eye for design and product quality• Experience with real-time interfaces, data visualization, or collaborative editing• Understanding of agent systems, LLMs, or evaluation frameworks• Track record of building products that balance power and simplicityWe're building the best self-serve agentic automation platform for the healthcare industry—and we're just getting started. Come join us.

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About UsConsole is an AI platform that automates IT and internal support. We help companies scale without scaling headcount, and give employees instant resolution to their issues. Our agents understand the full context of the organization, handle requests end-to-end and pull in humans only when necessary.Today, companies like Ramp, Scale, Webflow, and Flock Safety rely on Console to automate over half of their IT & HR requests. We've won every bake-off against our competitors, closed every trial customer and expect to 10x usage by year-end.We're a small, talent-dense team: naturally curious, high-agency and low-ego. Our organization is very flat and ideas win on merit, not hierarchy. We're hiring exceptional people to keep up with demand. We're backed by Thrive Capital and world-class angels.About the roleAs a founding Security Engineer at Console, you'll own, design, and implement the roadmap for our evolving security posture across both infrastructure and application security. You'll work directly with the CTO to align on our commitments to customers and ensure that our platform remains secure and compliant.Some examples of work you might do:Build the threat model that informs our security roadmap for the next yearDesign and deploy foundational security controls across corporate infrastructure (EDR, FIDO2 authentication, VPN) and application security (secure SDLC, vulnerability management)Oversee our compliance efforts (SOC 2, HIPAA, ISO 27001) and coordinate with external auditors and consultantsEvaluate, select, and implement security tooling that balances sophistication with operational efficiencyYou'll have broad license to own the security and compliance efforts at Console, with room to grow into a leadership position as the team scales.This role is based in San Francisco, CA. We work in-person and offer relocation assistance to new employees.About youYou have hands-on experience building security programs from the ground up, ideally in fast-growing startups or cloud-native environmentsYou understand both infrastructure security (identity & access management, network security, endpoint protection) and application security (threat modeling, secure development practices, vulnerability management)You've worked with compliance frameworks like SOC 2, HIPAA, or ISO 27001 and can translate requirements into practical implementationYou're comfortable both building security tooling yourself and orchestrating third-party solutions, and you know when to build vs. buyYou care about enabling the business and empowering engineers, not just saying "no"Requirements5+ years of full-time experience in security engineering, platform security, or infrastructure security rolesDeep experience with cloud security in AWS and/or GCP, including IaC tools like Terraform or PulumiPassionate about building pragmatic, risk-based security programs that scale with the businessWhy join Console?Product-market fit: We have built the leading product in our category, in a massive market. We've hit an inflection point and are on track to build a generational company. World-class team: We seek high agency contributors who are comfortable navigating ambiguity, ruthlessly prioritize what matters and are action-biased.Grow with us: We reward impact, not credentials or years of experience. We intend to grow talent from within as we scale up.Competitive pay and benefits: top compensation with full benefits including:Equity with early exercise & QSBS eligibilityComprehensive health, dental, and vision insuranceUnlimited PTO401(k)Meals provided daily in office

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About Appier Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, multi-agent, data analysis, distributed systems, and marketing. About The AI Creative Manager Team We’re a hybrid design + creator crew that turns briefs into scalable, on-brand video and static assets—fast. AdCreative.ai is our home base; Gemini, Kling, Runway, and Midjourney are our specialty tools. We build prompt libraries, style tokens, and repeatable pipelines that power campaigns across regions and brands. The team partners daily with PMM, Design, Sales, and customer service to balance craft with compliance (IP, privacy, safety). We measure success the way growth teams do—acceptance rate, turnaround time, CTR/ROAS lift, and zero rights issues—then share what works through enablement sessions for colleagues and clients. In short: we blend creative instincts with data discipline so marketing can move at product speed. About this role The AI Creative Manager turns briefs into high-quality videos and static assets using AdCreative.ai (primary) plus Gemini, Kling, Runway, and Midjourney. You’ll own sub-campaigns end-to-end with limited guidance—prompt design, variant generation, light editing, QA, and on-brand delivery—supporting marketing promotions and client deliverables. You’ll operate a defined part of our creative pipeline (templates, style tokens, asset versioning), contribute practical improvements, and help teammates work faster and safer. You’ll also deliver internal and external trainings so colleagues and clients can get real results from these tools. Success looks like on-brand work, measurable lift (CTR/ROAS), clean rights management, and zero safety/ compliance issues. Responsibilities Creative production Translate briefs into prompt chains, style references, and shot lists; generate on-brand video and static assets for multi-channel campaigns. Build and refine variants (layout, color, typography, motion) and deliver final files to spec and SLA. Tooling & workflow Operate a defined segment of the pipeline (e.g., template library, style-token kits, batch generation) with limited guidance. Use AdCreative.ai as the primary system for creative generation; leverage Gemini/Kling/Runway/Midjourney for specialized needs (video, compositing, upscaling). Use Photoshop/Premiere/After Effects/CapCut for light post-production. Quality, data, and experimentation Tag metadata, maintain reproducibility (seeds, versions), and run basic A/B tests; summarize results to inform next iterations. Track acceptance rate, first-pass quality, and turnaround time; suggest concrete fixes when metrics slip. Compliance & brand safety Apply rights management best practices (licensed media/fonts, releases, attribution); run bias/privacy checks and escalate edge cases. Follow company standards for model/source documentation and creative approvals. Collaboration & stakeholder comms Partner with PMM, Design, Sales, account manager and customer success manager to clarify requirements early; flag risks/options before deadlines. Present work and rationale clearly to internal partners and client-facing teams. Training & enablement Deliver foundational trainings and quick-start guides for colleagues and clients; capture FAQs into lightweight playbooks. Share repeatable prompts, templates, and checklists that raise team throughput. Continuous improvement Identify non-routine issues in your area, gather the right data, and propose solutions within standards (e.g., template tweaks, guardrails). Qualifications [Required] 2–4 years in design, motion, or content production (agency, in-house, or studio), including hands-on generative AI use for images/video. Proven proficiency with light editing tools such as After Effects/Photoshop/Premiere/ CapCut. Proven proficiency with AdCreative.ai (or similar) and at least one of Gemini, Kling, Runway, Midjourney for day-to-day delivery. Solid grasp of visual fundamentals (composition, typography, color, hierarchy) and short-form video basics (story beats, pacing, cuts). Able to operate a defined pipeline segment independently: prompt chaining, batch generation, light editing, asset packaging, and metadata. Experience running small experiments (A/B or multivariate), interpreting results, and iterating to improve acceptance/quality/CTR. Working knowledge of brand safety, copyright/IP, model releases, and privacy; habit of documenting sources and approvals. Clear, confident communication with internal and external stakeholders; reliable on deadlines and proactive in surfacing risks/options. Understand how your process ties to business outcomes (CTR, ROAS, lift) and the company’s product/brand strategy. [Preferred] Familiarity with LoRA/style tokens, control workflows, motion tracking/compositing. Experience creating enablement assets (quick-start guides, prompt libraries, checklists) and leading short trainings or client workshops. Basic scripting/automation mindset (naming conventions, reproducibility, simple macros or tools) and comfort with design systems or templates. Portfolio demonstrating on-brand delivery across formats and channels, with before/after or test results where available.   #L1-RL1

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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As a Software Engineer II - Software Defined Networking, you will lead the development and execution of our Software Defined Networking strategy. You will work extensively with the Linux Kernel, utilizing technologies such as XDP/EBPF, DPDK, SmartNIC, and DPU/IPU to drive innovation and performance improvements. What You’ll Be Working On:Develop and execute the roadmap for the Software Defined Networking strategy at Crusoe Cloud.Be highly hands-on, guiding the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks.Collaborate with the network infrastructure organization to develop industry-leading networking infrastructure.Lead Linux Kernel and driver development, system architecture design, production support, and cross-functional collaboration.What You’ll Bring to the Team:2+ years of related experience building and operating at scale in a production environment.Proven experience in system programming with C, C++ and/or Rust.Extensive knowledge of Linux Systems Internals and computer architecture.Expertise in Network Programming and Packet Processing pipelines.Hands-on experience with kernel bypass technologies such as XDP/EBPF, AF_XDP, and DPDK.In-depth understanding of TCP/IP and network accelerators like Mellanox/Nvidia SmartNIC (ConnectX6/7), DPU Bluefield3, and Intel IPU.Familiarity with SR-IOV, vDPA, and scalable functions.Strong background in kernel or embedded development, particularly with the Linux kernel.Experience with Open vSwitch, Openflow, and Open Virtual Networking.Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.Demonstrated track record of contributions to the open source community (e.g., Open vSwitch/OVS, Open Virtual Networking/OVN, Multus, Cilium). Bonus Points:Advanced degree in Computer Science, Engineering, or a related field.Proven leadership experience in a technical role.Strong analytical and problem-solving skills.Excellent communication and collaboration skills.Experience with cloud networking platforms (AWS, Azure, GCP) and virtualization technologies (VMware, KVM).Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid commuter benefit; $300 per monthCompensation: Compensation will be paid in the range of $131,000 - $154,000 per year + Bonus. Restricted Stock Units are included in all offers. Compensation will be determined based on the applicant's knowledge, education, experience, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About the Role: Would you like to participate in creating the fastest Generative Models inference in the world? Join the Cerebras Inference Team to participate in development of unique Software and Hardware combination that sports best inference characteristics in the market while running largest models available.  Cerebras wafer scale inference platform allows running Generative models with unprecedented speed thanks to unique hardware architecture that provides fastest access to local memory, ultra-fast interconnect and huge amount of available compute.  You will be part of the team that works with latest open and closed generative AI models to optimize for the Cerebras inference platform. Your responsibilities will include working on model representation, optimization and compilation stack to produce the best results on Cerebras current and future platforms.    Responsibilities:  Analysis of new models from generative AI field and understanding of impacts on compilation stack  Develop and maintain the frontend compiler infrastructure that ingests PyTorch models and produces an intermediate representation (IR).  Extend and optimize PyTorch FX / TorchScript / TorchDynamo-based tooling for graph capture, transformation, and analysis. Work with ML and compiler teams to ensure fidelity and performance parity with native PyTorch. Collaboration with other teams throughout feature implementation  Research on new methods for model optimization to improve Cerebras inference   Qualifications:  Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability  Strong Python programming skills and in-depth experience with PyTorch internals (e.g., TorchScript, FX, or Dynamo). Solid understanding of computational graphs, tensor operations, and model tracing. Experience building or extending compilers, interpreters, or ML graph optimization frameworks. Familiarity with C++ extensions, LLVM, MLIR, or other IR-based compiler infrastructures. Experience working with PyTorch and HuggingFace Transformers library Knowledge and experience working with Large Language Models (understanding Transformer architecture variations, generation cycle, etc.)  Knowledge of MLIR based compilation stack is a plus Preferred Qualifications Prior experience contributing to PyTorch, TensorFlow XLA, TVM, ONNX, or similar compiler stacks. Knowledge of hardware accelerators, quantization, or runtime scheduling. Experience with multi-target inference compilation (e.g., CPU, GPU, custom ASICs). Understanding of numerical precision trade-offs and operator lowering. Contributions to open-source ML compiler projects.    Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. What You’ll DoDevelop and own the end-to-end strategy for public cloud utilization, driving maximum ROI, revenue efficiency, and gross margin improvement.Lead execution of utilization initiatives by aligning cross-functional stakeholders across GTM, Product, Engineering, Marketing, Partnerships, and FP&A.Diagnose and address root causes of underutilization through targeted solutions - including pricing strategies, GTM motions, sales plays, partnerships, or product enhancements.Translate utilization strategies into actionable GTM plays and customer engagement plans to accelerate adoption and optimize cloud usage.Partner with senior leadership to prioritize initiatives, secure alignment, and ensure measurable business outcomes.Serve as the primary owner and voice of public cloud utilization strategy in executive forums, shaping business direction with data-driven insights.Prepare and deliver executive-level briefings on utilization performance, pipeline alignment, and financial impact.Collaborate with C-level leadership to ensure cloud utilization strategy aligns with company growth and operational goals.Build and maintain dashboards and reporting to provide visibility into public cloud utilization, availability, and revenue impact.Partner with capacity planning, cloud operations, and FP&A to analyze revenue, cost structures, margin opportunities, and forecast accuracy.Metrics owned - % Public cloud utilization and associated revenue growth, revenue per unit of cloud capacity consumed, Net Revenue Retention (NRR) tied to cloud services, customer base performance (active, growth, churn), gross margin impact of utilization initiatives, and utilization forecast accuracy (planned vs. actual).YouHave 7+ years of experience in GTM strategy, business operations, or cross-functional leadership roles within public cloud, SaaS, or infrastructure organizations.Possess a strong ability to influence senior executives and communicate actionable insights in board-level and C-suite settings.Demonstrate a proven track record of developing strategies, securing buy-in, and leading execution with measurable outcomes.Bring strong financial and analytical acumen, with the ability to link utilization metrics directly to growth, margin, and profitability.Have cross-functional leadership experience, collaborating effectively with GTM, Product, Engineering, and Finance teams.Are comfortable driving complex, high-impact programs across multiple stakeholder groups.(Preferred) Hold an MBA or equivalent experience in cloud business strategy and operations.(Plus) Bring product or program management experience in a cloud infrastructure context.Nice to HaveExperience in the machine learning or computer hardware industrySalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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CSQ426R239 We have 2 open positions based in our Germany offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About MagicalMagical is an agentic automation platform bringing state-of-the-art AI to healthcare—delivering AI agents that actually work in production.We're building "AI employees" that automate the repetitive, time-consuming workflows that slow teams down. Our focus is healthcare—a $4 trillion industry buried in administrative complexity—where we automate claims processing, prior authorizations, and eligibility checks, enabling providers to focus on patient care.Our TractionThe shift to agentic automation in healthcare is inevitable, and we're leading it:• Scaled from $1M to $4M ARR in the first 6 months of our new agentic platform• Accelerating growth with customers expanding into new workflows before renewal• 7-day proof-of-concepts that demonstrate real value fast• Self-healing automations with production-grade reliabilityUnlike many AI companies making bold promises, we ship reliable solutions that deliver measurable results. We're backed by Greylock, Coatue, and Lightspeed with $41M raised. Our founder, Harpaul Sambhi, is a second-time founder who successfully sold his first company to LinkedIn.About the RoleAs a Senior Backend Engineer on the Agent Platform team, you'll build the foundational systems that power our AI agents—from agent orchestration and state management to model integration and evaluation pipelines. This is platform engineering: building the infrastructure that enables our team to ship reliable, production-grade agentic automation.You'll work at the cutting edge of multi-agent systems, designing how agents collaborate to solve complex healthcare workflows. You'll own critical backend services end-to-end and build the verification systems and evaluations that guarantee our agents do the right thing every time.In this role, you will• Design and build core platform systems for agent orchestration, memory, and state management• Develop robust infrastructure for integrating and evaluating the latest AI models at scale• Build APIs and abstractions that enable teams to quickly ship new agent capabilities• Own critical backend services from architecture through deployment and monitoring• Work directly with the founding team to shape the architecture of our agentic platformYour background looks something like this• Have 4+ years of backend engineering experience, with strong proficiency in TypeScript/Node• Deep understanding of distributed systems, databases, and asynchronous architectures• Strong bias towards action and embody "show > tell"—you ship systems and iterate quickly• High degree of agency: you effectively prioritize, unblock yourself, and drive projects forward without much outside input• Value taking ownership and responsibility for your systems and infrastructure• Studied Computer Science (or related field), or dropped out to build stuff• Located in SF or willing to relocateEven better• Prior experience building platform or infrastructure systems at scale• Experience integrating LLMs or AI models into production backend systems• Background in real-time systems, event-driven architectures, or workflow engines• Track record of building foundational systems that enabled teams to move fasterWe're building the best self-serve agentic automation platform for the healthcare industry—and we're just getting started. Come join us.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Are you passionate about the AI market and highly skilled in competitive analysis?  Dataiku is seeking a strategic, analytical, and action-focused Principal Competitive Analyst to join our Competitive Intelligence team within Corporate Strategy. In this critical role, you’ll help us develop a deep understanding of the competition, drive market differentiation, shape strategic battle plans, and create enterprise-wide impact.  Join us in shaping the future of enterprise AI! This is your opportunity to play a key role in one of the most transformative industries of the last 20+ years. Building on our established CI foundation, you'll have strategic cross-functional impact in the rapidly evolving Agentic AI market.   How you’ll make an impact:  Analyze competitive moves and market dynamics, transforming critical insights into actionable strategies that inform market scenarios. Present strategic analysis and actionable recommendations to Senior leadership, Technology, Marketing, and Revenue teams. Support our go-to-market teams with competitive strategies that help us win more at scale. Directly support deals where needed. Relentlessly collect field intelligence, including through active monitoring of the market, participation in conferences, developing an extensive network of field connections, and our win-loss program. Work closely with Sales Enablement to scale the distribution of effective competitive training resources. Ensure all CI content meets high-quality standards. Independently lead research projects supporting our corporate strategy function.   What you'll need to be successful:  Bachelor's degree in a technology-related field or equivalent experience   7+ years in competitive intelligence, management consulting, product marketing, or related strategic roles, with 5+ years focused specifically on competitive analysis Excellent analytical skills and a solid understanding of the technology markets, with the ability to detect, analyse, and proactively respond to competitive threats that impact sales performance Proven track record of supporting sales success through competitive assets, deal support, and sales team coaching Excellent written and verbal communication skills, with the ability to present effectively to diverse audiences, including account executives, sales engineers, technical product managers, and executives. Strong organizational skills and ability to manage multiple priorities in a dynamic environment  Self-driven with a strong bias for action and a drive to enhance market positioning Willingness to travel up to 20% for conferences, sales events, and meetings in New York and Paris offices   What will make you stand out: Passion for Competitive Intelligence: Genuine enthusiasm for CI work, market dynamics, and using competitive insights to drive business impact. Deep experience in the data science and ML platform ecosystem and/or modern data stack technologies, plus knowledge of the emerging agentic AI market and competitive dynamics across the data-to-insights value chain. Tenacity and drive: a relentless commitment to help us differentiate in the market and win more deals. Strong team player: collaborates effectively with international and cross-functional teams, contributing to a positive and productive team environment.  Intellectual curiosity and critical mindset: willingness to continuously learn about market trends, Dataiku, and competitor platforms, and ability to dig under the product marketing surface. Flexibility and agility: thrive in a fast-paced Enterprise AI market, quickly adjusting strategies, and creating new competitive playbooks as needed. Innovative problem solver: bring creative solutions to complex challenges.   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.   Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.About The Role As a Network Engineer on the Cluster Architecture Team, you will work closely with the vendors, internal networking teams and industry peers to develop best-in-class interconnect architecture of the current and future generations of the Cerebras AI clusters. You will be responsible for developing proof-of-concept of new network designs and features enabling resilient and reliable network for AI workloads. The role will require cross-functional collaboration and interaction with diverse hardware components (e.g., network devices and the Wafer-Scale Engine) as well as software at several layers of the stack, from host-side networking to cluster-level coordination. The role also requires understanding of network monitoring systems and network debugging methodologies. Responsibilities Design AI/ML and HPC Clusters with a focus on the network technology. Identify and address performance or efficiency bottlenecks, ensuring high resource utilization, low latency, and high throughput communication. Stay current on emerging networking technologies: evaluate new hardware, fabrics, and protocols to improve cluster performance, scalability, and cost efficiency. Drive technical projects involving multiple teams, various software and hardware components coming together to realize advanced networking technologies. Bring effective communication skills. Collaborate with vendors and industry peers to drive network hardware and feature roadmap. Pre-deployment readiness & port mapping: build/validate rack/row and patch-panel port maps, cabling plans, if required in rare cases. Bring-up & rare deployment debugging: assist with lab/staging validation, packet captures, link level diagnostics, and synthetic traffic tests. Skills & Qualifications Ph.D. in Computer Science or Electrical Engineering + 10 years industry experience or Master’s in CS or EE + 15 years industry experience. 5+ Years of experience in large scale network designs in WAN or Datacenter. Extensive experience debugging networking issues in large distributed systems environment with multiple networking platforms and protocols. Experience of managing and leading multi-phase and multi-team projects. Networking platforms like Juniper, Arista, Cisco, open-box architectures (SONiC, FBOSS). Networking protocols like RoCE, BGP, DCQCN, PFC, streaming telemetry. Familiarity with automation languages like Python or Go. Familiarity with network visibility and management systems. Why Join Cerebras People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras: Build a breakthrough AI platform beyond the constraints of the GPU. Publish and open source their cutting-edge AI research. Work on one of the fastest AI supercomputers in the world. Enjoy job stability with startup vitality. Our simple, non-corporate work culture that respects individual beliefs. Read our blog: Five Reasons to Join Cerebras in 2025. Apply today and become part of the forefront of groundbreaking advancements in AI! Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.   The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation.   What You’ll Work On Leverage scientific methods to improve ads measurement. Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers.   What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills.   #LI-AK1

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.At Tenstorrent, we build computers for AI, and the developers shaping its future. Our high-performance RISC-V CPUs, modular chiplets, and scalable compute systems give developers full control at every layer of the stack, at any scale from a single-node experimentation to data center-scale deployment. We believe in an open future. Our architecture and software are designed to be edited, forked, and owned. Our team of engineers, dreamers, and first-principle thinkers is redefining how hardware and software converge to accelerate innovation. The Deputy BD Lead will support the amplification of this sovereign AI strategy by identifying opportunities, managing client relationships, and supporting go-to-market execution across the Gulf Cooperation Council (GCC) region. Reporting to the BD Lead for GCC region, this position will work closely with both regional leadership and global counterparts to build an Open Future.  This role is hybrid, based out of Dubai, UAE or Abu Dhabi, UAE. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are Passionate about sovereign AI solutions and open source software. Commercially minded with strong business development and client engagement skills. Thrive in fast-paced, high-growth environments and can balance strategic thinking with hands-on execution. A confident communicator, able to engage and collaborate effectively with senior stakeholders, partners, and customers. Results-oriented, organized, and capable of managing multiple opportunities simultaneously.   What We Need Experience in the AI hardware or software market, with an understanding of ecosystem dynamics and emerging trends, including enterprise, government, and strategic partner landscapes. Strong relationships with GCC-based clients, system integrators (SIs), and independent software vendors (ISVs)  Proven track record in pipeline development, client relationship management, and closing commercial opportunities. Experience working with cross-border teams and managing multi-stakeholder initiatives. Fluency in English is required. Proficiency in Arabic is highly preferred.   What You Will Learn To throw out the old playbook and drive strategic growth in the rapidly evolving AI hardware and software ecosystem. Go-to-market strategies across the GCC from start to finish Negotiating strategic partnerships with enterprises, governments, and ecosystem partners. Building a regional network while collaborating with global BD, product, and technical teams. Deeper expertise in market analysis, sales operations, and deal execution.   Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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About MagicalMagical is an agentic automation platform bringing state-of-the-art AI to healthcare—delivering AI agents that actually work in production.We're building "AI employees" that automate the repetitive, time-consuming workflows that slow teams down. Our focus is healthcare—a $4 trillion industry buried in administrative complexity—where we automate claims processing, prior authorizations, and eligibility checks, enabling providers to focus on patient care.Our TractionThe shift to agentic automation in healthcare is inevitable, and we're leading it:• Scaled from $1M to $4M ARR in the first 6 months of our new agentic platform• Accelerating growth with customers expanding into new workflows before renewal• 7-day proof-of-concepts that demonstrate real value fast• Self-healing automations with production-grade reliabilityUnlike many AI companies making bold promises, we ship reliable solutions that deliver measurable results. We're backed by Greylock, Coatue, and Lightspeed with $41M raised. Our founder, Harpaul Sambhi, is a second-time founder who successfully sold his first company to LinkedIn.About the RoleAs a Senior Backend Engineer on the Agent Platform team, you'll build the foundational systems that power our AI agents—from agent orchestration and state management to model integration and evaluation pipelines. This is platform engineering: building the infrastructure that enables our team to ship reliable, production-grade agentic automation.You'll work at the cutting edge of multi-agent systems, designing how agents collaborate to solve complex healthcare workflows. You'll own critical backend services end-to-end and build the verification systems and evaluations that guarantee our agents do the right thing every time.In this role, you will• Design and build core platform systems for agent orchestration, memory, and state management• Develop robust infrastructure for integrating and evaluating the latest AI models at scale• Build APIs and abstractions that enable teams to quickly ship new agent capabilities• Own critical backend services from architecture through deployment and monitoring• Work directly with the founding team to shape the architecture of our agentic platformYour background looks something like this• Have 4+ years of backend engineering experience, with strong proficiency in TypeScript/Node• Deep understanding of distributed systems, databases, and asynchronous architectures• Strong bias towards action and embody "show > tell"—you ship systems and iterate quickly• High degree of agency: you effectively prioritize, unblock yourself, and drive projects forward without much outside input• Value taking ownership and responsibility for your systems and infrastructure• Studied Computer Science (or related field), or dropped out to build stuff• Located in SF or willing to relocateEven better• Prior experience building platform or infrastructure systems at scale• Experience integrating LLMs or AI models into production backend systems• Background in real-time systems, event-driven architectures, or workflow engines• Track record of building foundational systems that enabled teams to move fasterWe're building the best self-serve agentic automation platform for the healthcare industry—and we're just getting started. Come join us.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. We are looking for an Home Operations Associate for the Helix Fleet Ops team. The team is responsible for orchestrating Figure’s Home-use case massive collection operations (i.e. home data collection and deployment). Responsibilities: You will help drive successful in-home robot data collection operations by supporting project prioritization and execution under the guidance of the Helix Fleet Operations Manager. Examples include: Supporting the execution of offsite deployments — i.e., all activities related to the successful deployment of humanoids and collection operations in residential environments (logistics, homeowner interface, etc.) Leading cross-functional planning and coordination across Engineering and Pilot teams to achieve the critical goals of Helix data collection and model development Designing and tracking key data collection metrics, performing analyses, and developing tools, processes, and dashboards to improve performance Defining and refining data collection methodologies to meet the evolving needs of the Helix model Requirements:  2-4 years in operations strategy, consulting, startup project management, or similar roles Excellent problem-solving and decision-making abilities Excellent communication skills especially using data Able to work well under pressure while managing competing, time-sensitive demands Proficiency in Google Workspace (e.g., Sheets) and operational management tools Low ego, team player with can-do attitude Bonus Qualifications:  Experience with robotics or AI data collection. A passion for helping scale the deployment of learning humanoid robots. The US base salary range for this full-time position is between $90,000 - $120,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended. 

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewWe’re looking for a founding member of Reflection’s Applied AI team, responsible for building our Forward Deployed Engineering function. This team plays a critical role in bridging our cutting-edge AI research with real-world enterprise deployments. As a founding Forward Deployed Engineer, you will own the end-to-end technical strategy, execution, and delivery of complex agentic applications, from early pre-sales discovery through production deployment.Key ResponsibilitiesPartner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.Build agentic solutions leveraging state-of-the-art models, orchestrating complex LLM workflows, integrating with enterprise infrastructure, and deploying robust production systems.Collaborate with research teams to adapt and fine-tune models for customer-specific needs, contributing to our internal codebase for inference, fine-tuning, and evaluation.Lead end-to-end deployment across hybrid environments (public cloud, VPC, or on-premises), ensuring scalability, performance, and reliability.Shape the Forward Deployed Engineering organization by defining playbooks, processes, best practices, and technical foundations to support the team's growth.QualificationsStrong software engineering background with experience shipping production-grade systems (Python, Typescript)Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.6+ years of software engineering experience, including 2+ years in a technical leadership capacity delivering AI-driven enterprise solutions (e.g., Lead Forward Deployed Engineer, Tech Lead, or Engineering Manager).Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.