Forward Deployed Engineer
As a Forward Deployed Engineer at Sunrise Robotics, you will deploy Sunrise robotic systems in live manufacturing environments to ensure successful customer go-lives. You will translate real-world production constraints into structured feedback that improves product capabilities and deployment workflows, identify opportunities to reduce non-recurring engineering effort and improve delivery scalability, and contribute to refining tools, processes, and system architectures to enable repeatable deployments. Collaboration with AI, robotics, product, and commercial teams is essential to align customer needs with product evolution. You will support pilot launches and early deployments, ensuring systems meet performance and operational success criteria, act as a technical partner to customers during integration to build trust and ensure long-term success, provide technical support during troubleshooting and maintenance, and investigate operational incidents or anomalies to ensure timely resolution and system reliability.
Hardware Tools Engineer
The role involves developing and evolving the tooling ecosystem used by hardware engineers, including hardware compilers, IR transformations, simulation, debugging, and automation infrastructure. Responsibilities include building and improving software tooling to accelerate hardware team productivity, extending and integrating hardware compiler stacks and connecting them to design workflows, enhancing developer experience and reliability through reproducible builds, better error messages, faster iteration loops, and dependable CI and regression infrastructure. The engineer will work closely with designers and verification engineers to address pain points by creating durable tools, dive into RTL as needed to debug issues, validate tool output, and improve debuggability, and engage with gate-level views, synthesis results, and implementation artifacts when necessary. Additionally, they will help enable PPA optimization loops by building analysis and automation tools related to area, timing, and power tradeoffs to improve tooling impact on these outcomes.
Sr Staff Engineer, CPU System Microarchitect
Contribute to defining and building next-generation CPU networking architecture for datacenter and emerging robotics/automotive applications, including current datacenter networking and specifying future medium- to low-power robotics/automotive devices for AI/ML compute and sensor ingest. Work at the intersection of Network on Chip (NoC), performance modeling, and RTL design to guide architectural decisions. Collaborate across hardware, software, and systems teams to define and refine networking requirements. Help drive the advancement of next-generation CPU networking architecture for AI/ML workloads.
Field Application Engineer, Automotive Robotics
The Field Application Engineer, Automotive Robotics will contribute to defining and building next-generation CPU networking architecture for datacenter and emerging robotics/automotive applications, including both datacenter networking efforts and early-stage automotive/robotics scoping and specifications. Responsibilities include working at the intersection of NoC, performance modeling, and RTL design to guide architectural decisions, collaborating across hardware, software, and systems teams to define and refine networking requirements, and helping to drive forward next-generation CPU networking architecture for AI/ML workloads. The role involves taking an early-stage concept within automotive/robotics networking from seeding and specification through to project initiation.
Emulation Engineer, Automotive Robotics
The job involves defining and building next-generation CPU networking architecture for both datacenter and emerging robotics/automotive applications. Responsibilities include contributing to current datacenter networking efforts and helping to specify future medium- to low-power robotics/automotive devices for AI/ML compute and sensor ingest, with an initial focus on datacenter networking and robotics within the automotive/robotics space. The role requires working at the intersection of Network on Chip (NoC), performance modeling, and RTL design to guide architectural decisions, collaborating across hardware, software, and systems teams to define and refine networking requirements, and helping to drive forward next-generation CPU networking architecture for AI/ML workloads. Additionally, the position involves taking early-stage automotive/robotics networking concepts from seeding and specification through to project initiation.
RTL Engineer, Automotive Robotics
As an Automotive and Robotics SoC Architect at Tenstorrent, you will define scalable, top-down system architectures that unify the company's CPU and AI technologies for next-generation automotive applications. This role involves shaping the architectural direction of automotive and robotics products to meet high standards for performance, safety, reliability, and security. The position requires strong technical leadership, systems thinking, and cross-functional collaboration, and is central to delivering world-class automotive solutions.
Senior Software Engineering Lead, Resilience and Chaos Engineering
Lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. Explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Create models that integrate visual data to guide physical manipulation for sophisticated handling of diverse items. Collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities deployable on physical hardware for industrial applications. Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Work with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.
Sensing Systems Engineer
The Systems Engineer is responsible for owning the holistic performance of Sesame’s wearable devices across the full stack, including hardware selection and integration, firmware, signal processing, and application behavior. They research, evaluate, and recommend optimal sensor technologies and devices for various wearable applications considering physical, electrical, software capabilities, cost, schedule, and user impact. They own the end-to-end performance of sensor systems from prototyping through mass production, managing latency, power consumption, thermal constraints, and reliability. The role includes defining system-level test plans, acceptance criteria, and specifications to ensure high-quality user experience and validating each layer of the stack. They design and supervise data collection strategies for ground-truth data sets needed for algorithm and model development. Additionally, they develop, test, and implement signal processing, sensor fusion, and calibration systems to translate raw sensor data into usable outputs, and collaborate with the ML team to enhance Sesame agents’ responses by integrating sensor data.
Senior Autonomy System Test Engineer
As a Senior Autonomy Systems Test Engineer, you will accelerate product development by helping developers build safe and reliable autonomous driving software. You will oversee the development of extensive test plans, develop standardized simulated test design tooling processes to execute various scenarios, validate end-to-end behaviors, and create triage pipelines for analyzing issues seen during offline and on-vehicle testing. You will participate regularly in in-vehicle testing missions to observe feature behavior in real-world conditions, help triage and root cause issues seen during testing, analyze test results to ensure no regression in existing functionality, and update testing processes for scaling QA efficiency. Your specific duties include creating test strategies and test plans for self-driving behavior features, identifying, tracking, reporting, and resolving test strategy, planning, or implementation issues with cross-functional software teams, proposing and validating new testing methodology for the AI stack using automated metrics, designing, developing, and executing synthetic and log-based test scenarios on an in-house simulation test framework, and compiling triage strategies and results from different QA validation platforms and pipelines.
Design Director
As an Automotive and Robotics SoC Architect, you will define scalable, top-down system architectures that unify CPU and AI technologies for next-generation automotive applications. This role involves shaping the architectural direction of the automotive and robotics portfolio to ensure products meet the industry's high standards for performance, safety, reliability, and security. The position requires strong technical leadership, systems thinking, and cross-functional collaboration to deliver world-class automotive solutions.
Access all 4,256 remote & onsite AI jobs.
Frequently Asked Questions
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.