AI Robotics Engineer Jobs

Discover the latest remote and onsite AI Robotics Engineer roles across top active AI companies. Updated hourly.

Check out 221 new AI Robotics Engineer opportunities posted on AI Chopping Block

Senior Perception Engineer

New
Top rated
Chef Robotics
Full-time
Full-time
Posted

As a Senior Perception Engineer at Chef Robotics, you will own the full stack of how robots see and understand the world, including integrating camera hardware, training deep learning models, and ensuring real-time model performance on the factory floor. You will design, train, and optimize deep learning models for detection, segmentation, pose estimation, and classification, focusing on real-world robustness. You will build low-latency inference pipelines optimized for embedded and edge hardware, develop multi-object tracking algorithms, and solve perception problems specific to food robotics such as deformable objects and occlusions. You will manage the end-to-end machine learning lifecycle including data collection, annotation tooling, dataset curation, augmentation, model training, evaluation, deployment, and debugging in the field. Additionally, you will develop tooling to monitor model performance in production, partner with robotics, hardware, and software engineers to translate perception capabilities into robot behaviors, help define the perception roadmap, influence the team's technical direction, and assist in integrating new cameras and sensors for enhanced robotic vision.

$170,000 – $240,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Onsite

Design Verification, Forward Deployed Engineering

New
Top rated
OpenAI
Full-time
Full-time
Posted

Serve as the design verification SME for semiconductor deployments, helping teams reason about verification workflows across block, subsystem, and SoC environments. Shape AI-assisted workflows for test generation, regression triage, debug, root-cause analysis, and coverage closure. Curate evaluations with FDEs and customer SMEs, including golden tasks, labeled examples, rubrics, acceptance criteria, and realistic benchmarks grounded in solved issues and real engineering workflows. Build lightweight prototypes, evaluation harnesses, and tooling that validate opportunities and improve solution quality. Educate and mentor the broader FDE team on verification concepts, tooling, and methodology so the organization can engage semiconductor workflows with greater depth and confidence. Partner with FDEs during customer discovery and scoping to translate ambiguous pain points into clear solution hypotheses, success criteria, and technical plans. Support customer-facing technical conversations as a trusted advisor, engaging credibly with technical leaders. Progressively take on broader Forward Deployed Engineering responsibilities, including customer discovery, solution architecture, prototype development, production deployment, and ownership of technical workstreams.

$162,000 – $302,000
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Remote

Robotics Autonomy Engineer-Planning and Control (Federal)

New
Top rated
FieldAI
Full-time
Full-time
Posted

Design, implement, and deploy advanced motion planning and control algorithms for robotic platforms including wheeled, legged, and humanoid systems. Develop robust motion planning algorithms for challenging real-world scenarios such as narrow passages, dynamic obstacles, and complex environments. Design optimization-driven approaches for path and trajectory generation to ensure smooth, reliable, and efficient navigation. Ensure scalability, reusability, and adaptability of planning approaches across diverse contexts. Develop and tune control algorithms for precise trajectory tracking and stable operation. Collaborate to coordinate perception, planning, and control layers for robust performance. Build and maintain testing pipelines from unit validation to full robot deployment. Utilize simulation and testing environments for evaluation, benchmarking, and regression validation. Analyze real-world telemetry for diagnosis, improvement, and robustness enhancement. Investigate and resolve field deployment issues through data analysis and debugging. Deliver improvements addressing specific challenges while maintaining general reliability and performance.

$70,000 – $300,000
Undisclosed
YEAR

(USD)

Irvine, United States
Maybe global
Hybrid

Member of Technical Staff - Robotics Research Lead

New
Top rated
Reka
Full-time
Full-time
Posted

Collaborate with the world model team to build a state-of-the-art training and simulation platform for robotics. Develop persistent 3D/4D scene representations that maintain temporal consistency. Unlock advanced robotics planning and decision making through in-house, cutting-edge world models. Ensure sensing and system dynamics perform reliably in high-stakes, real-world operations where models think, simulate, and act. Partner with ML researchers to innovate on generative models and physical AGI. Collaborate closely with ML researchers developing multimodal world models and generative systems, and with hardware teams and partners to ensure robotic platforms, sensing, and system dynamics behave optimally in real-world operation.

Undisclosed

()

United Kingdom
Maybe global
Remote

Staff Software Engineer

New
Top rated
Haydenai
Full-time
Full-time
Posted

As a Staff Software Engineer on the Perception team, you will be responsible for defining and driving the long-term vision and architecture for perception systems, architecting complex, scalable, and robust end-to-end perception and robotics systems for deployment on real-world hardware, ensuring their successful integration into Hayden’s core product platform. You will spearhead the architectural design, implementation, and long-term ownership of next-generation perception systems, transition research prototypes to production solutions, deliver high-performance, tested, and maintainable C++ code optimized for edge and robotics platforms, architect and optimize real-time perception pipelines, drive the integration of state-of-the-art ML and CV models, provide technical leadership in complex problem domains, collaborate with Product leadership and Engineering organizations, and contribute to foundational shared infrastructure, tooling, and architectural patterns to scale pilot initiatives into core product capabilities.

$230,522 – $299,679
Undisclosed
YEAR

(USD)

San Francisco, United States
Maybe global
Remote

Software Engineer, Simulation

New
Top rated
Intrinsic
Full-time
Full-time
Posted

As a Robotics Application Engineer specializing in Intelligent Manufacturing Automation, the responsibilities include closely collaborating with the automation group and industry partners to advance manufacturing automation by extending capabilities and solutions. Daily tasks involve integrating and developing robotics solutions, including processes, software features, and integrating state-of-the-art AI for manufacturing automation. The role includes working with the team leading the deployment of impactful robotic systems in production. Additional responsibilities entail contributing to the technical development and integration of advanced robotic automation solutions for manufacturing automation using the Intrinsic platform, ROS, and AI capabilities, collaborating with research and industry partners to integrate AI and automation into factory settings, and documenting designs, processes, and results while communicating effectively with internal technical teams and partners.

$132,000 – $187,000
Undisclosed
YEAR

(USD)

Singapore
Maybe global
Onsite

Senior State Estimation Engineer

New
Top rated
Haydenai
Full-time
Full-time
Posted

As a Senior State Estimation Engineer at Hayden AI, the responsibilities include deriving and implementing novel real-time pose estimation algorithms, researching, developing and implementing algorithms to solve large-scale mapping and similar problems, collaborating with other engineers on multi-sensor calibration both in-situ and in-factory, programming and developing software in C++ and/or Python, contributing to high impact multidisciplinary projects across teams, collaborating with deep learning, device, and cloud teams to improve overall system architectures, and providing mentorship to junior engineers.

$200,454 – $260,590
Undisclosed

(USD)

San Francisco, United States
Maybe global
Remote

Senior Robotics & Software Engineer - Grippers R&D (202648)

New
Top rated
Nomagic
Full-time
Full-time
Posted

Building the best-in-the-world objects manipulation system with a cross-functional R&D team including Hardware, Software, and AI; inventing and implementing strategies for using new robotic grippers to handle previously unpickable items; improving adaptability, scalability, and reliability of the robotic platform; using data to build heuristics for handling different categories of items; and detecting anomalies using a combination of signals to determine if a robot picked more than one item at once or if one item is disassembling.

PLN 26,000 – PLN 32,000 / month
Undisclosed
MONTH

(PLN)

Warsaw, Poland
Maybe global
Hybrid

Senior Engineer, XBAT Simulation Modeling (R4546) (TX/SD/BOS)

New
Top rated
Shield AI
Full-time
Full-time
Posted

As a Senior Modeling & Simulation Engineer, responsibilities include developing models and infrastructure for the integrated simulation pipeline in C++, designing deterministic, high-performance simulation tools capable of faster-than-real-time execution for development, testing, and release, implementing test scenarios and writing unit, system, and regression tests. Collaborate across autonomy, embedded, GNC, and test engineering teams to ensure the simulation mirrors real aircraft behavior and mission scenarios. Contribute to platform-agnostic simulation tooling to accelerate future development efforts. Perform verification and validation (V&V) analysis on model tools. Conduct system performance analysis and generate reports and visualizations. Utilize best practices in C++, simulation architecture, and performance engineering.

$105,000 – $155,000
Undisclosed
YEAR

(USD)

Dallas, United States
Maybe global
Onsite

Staff Engineer, G&C (R4763)

New
Top rated
Shield AI
Full-time
Full-time
Posted

As a Guidance and Controls engineer, you will be responsible for creating and maintaining all control and autonomy algorithms within the XBAT code base. This includes algorithm development, unit tests, component tests, flight software qualification, and flight test support. You will also be responsible for helping update and validate the truth models as required.

$180,000 – $280,000
Undisclosed
YEAR

(USD)

Dallas, United States
Maybe global
Onsite

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Frequently Asked Questions

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[{"question":"What does an AI Robotics Engineer do?","answer":"AI Robotics Engineers design and implement artificial intelligence systems that enable robots to learn, make decisions, and operate autonomously. They develop control interfaces for various robot types, create data collection processes, and integrate machine learning algorithms into robotic systems. Daily tasks include programming in Python or C++, testing robotic functionality, troubleshooting performance issues, and collaborating with mechanical and electrical engineers. They work across multiple applications, ensuring robots can navigate environments, manipulate objects, and process sensory information effectively. This role bridges the gap between pure robotics hardware and advanced AI capabilities."},{"question":"What skills are required for AI Robotics Engineer Jobs?","answer":"Success in AI robotics engineering requires strong programming skills in Python, C++, and MATLAB. Engineers need deep knowledge of machine learning frameworks and control systems that power robotic decision-making. Mathematics proficiency—particularly in algebra, calculus, and trigonometry—is essential for algorithm development. Problem-solving abilities and logical thinking are crucial for debugging complex systems when robots behave unexpectedly. Hardware integration experience helps when working across diverse robotics platforms. Engineers should be comfortable with visualization tools and quality control processes. Effective collaboration skills are necessary as these roles typically involve working with interdisciplinary teams of mechanical and electrical engineers."},{"question":"What qualifications are needed for AI Robotics Engineer Jobs?","answer":"Most AI Robotics Engineer positions require at least a bachelor's degree in robotics, computer science, electrical engineering, or a related technical field. Advanced roles often prefer master's degrees or PhDs, especially for research-focused positions. Beyond formal education, employers look for demonstrated experience with artificial intelligence and machine learning technologies applied to robotics. Technical qualifications should include proficiency in programming languages like Python and C++, plus familiarity with robotics hardware integration. Many employers value practical project experience showing your ability to implement AI algorithms in robotic applications. Professional certifications in machine learning or specific robotics platforms can strengthen your candidacy."},{"question":"What is the salary range for AI Robotics Engineer Jobs?","answer":"AI Robotics Engineer salaries vary significantly based on several key factors. Location dramatically impacts compensation—positions in technology hubs like Silicon Valley or Boston typically offer higher pay than other regions. Education level matters, with advanced degrees often commanding premium salaries. Experience level creates substantial differences, with senior engineers earning significantly more than entry-level positions. Industry sector affects compensation too—automotive, defense, and technology firms may offer different packages. Company size plays a role, with large tech firms often providing higher base salaries. Specialized expertise in emerging fields like reinforcement learning for robotics or computer vision can significantly increase your market value."},{"question":"How long does it take to get hired as an AI Robotics Engineer?","answer":"The hiring timeline for AI Robotics Engineer positions typically spans 1-3 months from application to offer. The specialized nature of these roles often involves multiple technical interviews, including programming assessments, machine learning concept discussions, and robotics knowledge evaluation. Many companies include practical tests where candidates solve robotics-AI integration problems or demonstrate their ability to implement algorithms on robotic platforms. Positions requiring security clearance (defense, government) take longer. Roles at technology leaders like OpenAI may have more extensive evaluation processes. Your hiring timeline shortens when you have direct experience with the specific technologies mentioned in the job listing, particularly AI frameworks and robotics hardware integration."},{"question":"Are AI Robotics Engineer Jobs in demand?","answer":"AI Robotics Engineer jobs show strong demand across multiple high-growth sectors. Industries actively recruiting include automotive (autonomous vehicles), manufacturing (smart factories), healthcare (surgical robots), agriculture (automated harvesting), and defense. The integration of machine learning into robotics—making systems smarter and more independent—drives this demand. Organizations like OpenAI are specifically seeking engineers focused on robotic data collection and AI policy evaluation. The field's cutting-edge nature means companies struggle to find candidates with the right combination of AI expertise and robotics knowledge. Engineers comfortable with both hardware integration and advanced machine learning algorithms are particularly sought after in this specialized intersection of technologies."},{"question":"What is the difference between AI Robotics Engineer and Pure AI Engineer?","answer":"AI Robotics Engineers specialize in integrating artificial intelligence with physical systems, focusing on hardware-software interaction challenges that pure AI Engineers don't typically address. They must understand sensors, actuators, and mechanical constraints while implementing machine learning algorithms that work within these physical limitations. AI Robotics Engineers spend significant time testing systems in real-world environments, accounting for physical variability, while Pure AI Engineers primarily work in digital domains. The robotics specialist needs knowledge across mechanical engineering, electronics, and control systems, whereas Pure AI Engineers concentrate on algorithm development, model training, and data science. AI Robotics Engineers face unique challenges in real-time processing requirements and safety considerations that aren't present in purely digital AI applications."}]