Embodied AI Robotics Research Engineer

Realhand Inc.; Palo Alto (CA); On-site; USD 28,000 - 103,000; Full time

Job summary

RealHand Inc. in Palo Alto, CA, is an AI robotics company building dexterous hands and the intelligence behind them. We seek full-time Research Engineers and Research Interns to develop algorithms and systems for embodied AI and robotic manipulation on real robots.

You will work on multimodal learning, perception, planning, and real-world deployment with robotic arms and bimanual systems, in an on-site role. Candidates should have strong Python, ML, CV, and robotics foundations.

Qualifications

• MS or PhD in CS, robotics, AI, EE or related field.
• Strong Python and foundations in ML, CV, robotics.
• Experience in robotic manipulation, learning, planning, or LLM/VLM reasoning.
• Experience with physical robots is highly desirable.

Responsibilities

• Develop learning, perception, reasoning, and planning methods for robotic manipulation, including grasping, assembly, tool use, and long-horizon tasks.
• Explore foundation models, VLM/VLA models, imitation learning, RL, and multimodal robot learning.
• Develop visual and 3D perception methods for object localization, pose estimation, grasp planning, and manipulation.
• Combine learned robot policies, motion planning, manipulation skills, reasoning, code generation, and tool use into reliable execution systems.
• Develop feedback, verification, memory, and failure-recovery methods for adaptation during physical interaction.

Skills

Python programming

Machine learning

Robotics

Computer vision

Reinforcement learning

Motion planning

Education

MS or PhD in Computer Science, Robotics, AI, Electrical Engineering, or related field

Job description

RealHand Inc. in Palo Alto, CA, is an AI robotics company building dexterous hands and the intelligence behind them. We seek full-time Research Engineers and Research Interns to develop algorithms and systems for embodied AI and robotic manipulation on real robots.

You will work on multimodal learning, perception, planning, and real-world deployment with robotic arms and bimanual systems, in an on-site role. Candidates should have strong Python, ML, CV, and robotics foundations.