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Robotics Research Engineer

United States, Redmond 257000.00 USD / Year · Job Posted January 26, 2026
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Job Description

We are seeking a Research Engineer with expertise in software engineering, robotic systems integration, and machine learning to join Reality Labs Research. This role is highly interdisciplinary, involving full-stack development, deployment of control policies, and hands-on work with robotic embodiments and human wearable sensing systems. You’ll collaborate with researchers, engineers, and designers, leveraging cutting-edge technology and facilities.

Job Responsibility

  • Architect Data Capture Systems: Integrate motion capture and novel hardware prototypes for human demonstration data
  • Design Data Processing Pipelines: Build scalable pipelines for large multimodal datasets to enable efficient model training
  • Orchestrate Robotic Systems: Develop and maintain real-time orchestration pipelines, integrating multidisciplinary components
  • Optimize and Debug: Tune runtime performance, debug system behavior, and develop interactive demos and benchmarks
  • Collaborate Cross-Functionally: Work with interdisciplinary teams to refine modules and drive end-to-end system improvements

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 5+ years of research or industry experience in perception, machine learning, or robotics
  • 3+ years of full-stack systems engineering experience, including large software systems development and maintenance
  • Experience with prototype/scientific software-hardware systems (robotics platforms, multi-camera systems, human sensing systems)
  • Track record of collaborating and communicating effectively across functions

Nice to have

  • Master’s or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field (or equivalent practical experience)
  • Experience in robotics research, especially dexterous manipulation, robotic policy, and control theory
  • Familiarity with robotics frameworks (e.g., ROS) and real-world robotic control systems
  • Experience designing data collection protocols, developing data pipelines, and building high-quality ML datasets
  • Background in computer vision, imitation learning, reinforcement learning, self-supervised learning, model-predictive control, or other advanced ML/CV techniques

What we offer

  • bonus
  • equity
  • benefits

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