Robotics Research Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Robotics Research Engineer San Francisco, California, United States Role Overview Physical Intelligence is bringing general-purpose AI into the physical world. We are a team of engineers, scientists, roboticists, and company builders developing foundation models and learning algorithms to power the robots of today and the physically-actuated devices of the future. In this role, you will work at the intersection of hardware, software, and large-scale model training to develop effective autonomous robot policies. You'll have the opportunity to work across the full stack behind state-of-the-art vision-language-action models: from designing robotic systems and data collection pipelines that produce high-quality training data, to developing learning algorithms that turn that data into capable, reliable policies. You'll help shape the datasets, infrastructure, and research directions that define how these systems are built. What You'll Do - Build autonomous robot policies that operate robustly in the real world. - Work across the full stack of robot learning, from hardware and data collection to training, evaluation, and deployment. - Create new data collection methods and pipelines to generate the high-quality data that powers state-of-the-art robot models. - Develop and refine vision-language-action models and learning algorithms for general-purpose manipulation and control. - Curate and shape large-scale datasets, task distributions, and training recipes for robot pretraining and adaptation. - Run fast, rigorous experiments to identify bottlenecks, uncover failure modes, and improve policy performance. - Collaborate closely with researchers and engineers across robotics, infrastructure, and ML systems. - Help define the technical roadmap for general-purpose physical intelligence. Competencies and Skills

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