Robotics Research Engineer – Real-World Deployment

Veeda AI; California; On-site; USD 140,000 - 190,000; Full time

Job summary

Veeda AI in California is seeking a Member of Technical Staff – Robotics to build and deploy learning-based robot policies on real hardware, advancing multimodal foundation models for Physical AI. You will design experiments, analyze results, and collaborate with researchers to translate ML advances into practical robotic systems.

Candidates should have a PhD or equivalent, strong Python and PyTorch skills, and willingness to travel for hands-on work.

Qualifications

• PhD degree or equivalent hands-on experience in Robotics, Computer Science, Mechanical or Electrical Engineering, or a related technical field.
• Experience developing learning-based robot policies and deploying them on real hardware.
• Strong Python and PyTorch skills, with proficiency in a robot software stack.
• Solid understanding of robot kinematics, sensing, calibration, and system integration.
• Ability to independently design, execute, and analyze reproducible robotics experiments.
• Willingness and ability to travel for hands-on robot setup, testing, and deployment.

Responsibilities

• Robotics Systems & Data: Build and maintain robotic systems and data-collection workflows that support research and evaluation.
• Real-World Experimentation: Design and run hardware experiments to assess performance, robustness, and generalization.
• Evaluation & Analysis: Develop reproducible benchmarks, investigate failure modes, and use findings to guide model and system improvements.
• Research Collaboration: Work closely with researchers and engineers to connect advances in machine learning with practical robotics challenges.

Skills

Python

PyTorch

Robot software

Learning-based policies

Education

PhD or equivalent hands-on experience

Tools

Robot software stack

Job description

Veeda AI in California is seeking a Member of Technical Staff – Robotics to build and deploy learning-based robot policies on real hardware, advancing multimodal foundation models for Physical AI. You will design experiments, analyze results, and collaborate with researchers to translate ML advances into practical robotic systems.

Candidates should have a PhD or equivalent, strong Python and PyTorch skills, and willingness to travel for hands-on work.