Drimva

Embedding VC

Member of Technical Staff - Head of Robotics

San Francisco Bay Area · On-site · Staff · Full-time · Posted Jul 27, 2026

About the job

Build and evaluate robotics AI across simulation and physical platforms, including world-model training, sim-to-real transfer, and robot deployment.

What you'll do

  • Benchmark robot foundation models and policies in simulation and develop evaluation infrastructure.
  • Train world models and learning pipelines using simulated and real-world robot data.
  • Integrate, deploy, maintain, and debug physical robots and their software, sensors, and controls.

What they ask for

  • Strong background in robotics, embodied AI, machine learning, or a related field.
  • Experience with physical robotic systems and deploying software to real robotic hardware.
  • Experience with robotic simulation platforms such as Isaac Sim, MuJoCo, Habitat, Gazebo, or similar.
  • Strong Python and robotics tooling skills; ability to debug across hardware, software, and machine learning systems.

Nice to have

  • Familiarity with robot learning, foundation models, or world models.

Tools

Isaac Sim, MuJoCo, Habitat, Gazebo, Python

AI focus

Evaluate robot foundation models and policies; train world models and robotic learning systems; improve sim-to-real transfer and real-world robot performance.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 6, 2026 (UTC)