Research Scientist / Engineer - Dexterous Manipulation

Benefits

Parental leave

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Non-birth-parent leave

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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

Staff Plus 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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About this role

Research Scientist / Engineer - Dexterous Manipulation Mountain View, Mountain View,, California, United States At Rhoda AI, we're building the next generation of generalist intelligent robots. We own the full robotics stack from high-performance hardware and robot systems to the infrastructure and state-of-the-art foundation world models that control our robots. Our robots are designed to be generalists capable of operating in complex, real-world environments and handling long-tail edge cases, made possible by our cutting edge research and end-to-end system design. We've raised over $400M and are investing aggressively in model research, infrastructure, hardware development, and manufacturing scale-up to make generalist robotics a reality. We're looking for a Research Scientist or Research Engineer to advance dexterous manipulation - enabling our robots to perform contact-rich, fine-motor tasks that require precision, physical reasoning, and adaptability to novel objects and environments. What You'll Do - Research and develop learning-based approaches for dexterous and contact-rich manipulation tasks - Design training strategies and data collection protocols for fine-motor and multi-finger manipulation - Work on perception for manipulation: contact detection, tactile sensing, object pose estimation, and spatial reasoning - Build and evaluate policies that generalize to novel objects and unstructured environments - Develop simulation environments and benchmarks for dexterous manipulation research - Collaborate with robot hardware, perception, and learning teams to close the sim-to-real gap - Publish and present work at top-tier robotics and ML venues (especially valued for RS track) What We're Looking For - Strong background in robot learning, manipulation, or physical AI - Hands-on

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