Research Engineer Robotics (Systems) Meta Platforms IncResearch Engineer Robotics (Systems)Redmond, WAInfluence roadmap and priorities through deep system understanding and proactive problem identification Collaborate & Mentor Cross-Functionally: Work with diverse research and engineering teams to refine modules, drive end-to-end system improvements, and elevate the technical capabilities of the broader teamBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Bachelor's degree in Computer Science, Computer Engineering, Robotics, or related technical field (or equivalent practical experience) 5+ years of experience in robotics engineering, including hands-on work with robotic platforms in industry or academic research settings Demonstrated experience with machine learning systems in a robotics context (e.g., learned control policies, perception models, or ML-driven planning) Full-stack systems engineering experience designing, building, and maintaining large-scale software-hardware systems Track record of driving complex, ambiguous technical projects from conception through delivery with minimal direction Experience communicating technical decisions and system designs to cross-functional stakeholders across research and engineering functions (e.g., design documents, technical reviews, project proposals) Experience building and operating systems that bridge research exploration and reliable deployment Background in computer vision, imitation learning, reinforcement learning, model-predictive control, or sim-to-real transfer Master's or Ph. D. in Robotics, Computer Science, Electrical Engineering, or related field Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in dexterous manipulation, learned robotic policy deployment, or control theory applied to real hardware Experience designing data collection protocols and building high-quality ML datasets at scale History of mentoring engineers and influencing technical direction beyond your immediate team Deep familiarity with robotics frameworks (e.g., ROS/ROS2) and real-time robotic control systems Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Meta builds technologies that help people connect, find communities, and grow businesses.
Mechanical Engineering Technician, Robotics Hardware Engineering Meta Platforms IncMechanical Engineering Technician, Robotics Hardware EngineeringRedmond, WARapid Prototyping & Fabrication: Fabricate mechanical components and assemblies using diverse processes including 3D printing, CNC machining, and manual fabrication Complex Assembly: Build and integrate structural components, precision actuators and gearboxes, wire electronics, ensuring precision and fit for complex robotic systems Testing & Validation Support: Support engineering teams in conceptualizing and executing experiments, running mechanical safety tests (crush/force testing), performance validation, and reliability studies Lab & Material Management: Manage lab materials and organization including tools and consumables. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence.
Hardware Research Engineer, Meta Robotics Studio Meta Platforms IncHardware Research Engineer, Meta Robotics StudioRedmond, WADesign and Development: mechanical and electrical system design and analysis problems for robotics structure, mechanisms, power transmissions, electric components, and systems integration while balancing ergonomics, performance, reliability Supporting parts manufacture: Working with internal/external partners to support part fabrication and complex custom sub assembly Assembly of robot: Hands on work in the lab constructing sub-assemblies to full system level robot prototypes Failure analysis: Build subsystem test fixtures, design tests, create test plans, perform tests, measure and analyze data, and refine design assumptions Collaboration: Work closely with a cross-functional team of engineers to deliver technical solutionsBS degree or equivalent experience in Mechanical/Electrical Engineering or a related field 5+ years of experience in Mechanical/Electrical Design Engineering and with experience in machine design or electrical component development Experience designing electromechanical assemblies (robotics, automotive, aerospace, industrial automation) Experience with SOLIDWORKS, Siemens NX or similar CAD tools Experience with prototyping processes and materials Experience with embedded systems and communication protocols Experience in tolerance analysis, geometric dimensioning and tolerancing (GD&T) Experience in power electronics and battery management programming Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with simulation tools conducting finite element analysis: structural and modal Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience in Robotics and consumer electronic product design Familiarity with traditional mass production manufacturing processes, including injection molding, CNC machining, sheet metal Experience with automation equipment design and custom machine builds Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Meta builds technologies that help people connect, find communities, and grow businesses. To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence.
Robotics Engineer - Humanoids focus General RoboticsRobotics Engineer - Humanoids focusRedmond, WashingtonOur team's work spans some of the most widely adopted robotics and AI research to come out of Microsoft Research, Google Research and DeepMind — including AirSim, PACT, ClimaX, Tensorflow Object Detection and VideoPoet. Design high fidelity simulation environments that advance sim-to-real transfer and reduce the gap between simulation training performance and real-world deployment, enabling faster iteration cycles.
NewRobotics Engineer: Foundation Model Training General RoboticsRobotics Engineer: Foundation Model TrainingRedmond, WashingtonOur team's work spans some of the most widely adopted robotics and AI research to come out of Microsoft Research, Google Research and DeepMind — including AirSim, PACT, ClimaX, Tensorflow Object Detection and VideoPoet. Headquartered in Redmond, Washington, we're venture backed, including by Accenture, who invested in General Robotics in 2026 to advance Physical AI-powered robotics in manufacturing and logistics, and we're also part of Microsoft's Startups Pegasus Program.
NewRobotics Software Engineer - Field Deployment & Support Destro AIRobotics Software Engineer - Field Deployment & SupportSumner, WAThis role is responsible for writing and maintaining production code, not solely for troubleshooting it, and will serve as the engineering presence on-site when systems need to be brought up, stabilized, or restored to full function. 2 to 6 years of experience in systems engineering, robotics software, backend engineering, infrastructure, or field engineering, with genuine software development experience rather than field support alone.
Robotics Autonomy Engineer Booz Allen Hamilton Inc.Robotics Autonomy EngineerBremerton, WA$77,600–$176,000 / yearWe build perception, navigation, and control solutions for unmanned surface vessels (USVs), unmanned underwater vehicles (UUVs), and multi-agent maritime systems, enabling robust robotic capabilities that address real-world operational challenges at sea. Experience with multi-agent coordination, swarm behaviors, collaborative autonomy frameworks, and simulation environments such as Gazebo, Isaac Sim, or marine-specific simulators, such as VRX, or UUV Simulator.