This is a hands-on research and engineering role at a small, early-stage AI company focused on generating high-quality, verifier-grounded training data for robotics and frontier AI models. You will work across the full stack, from learning algorithms and simulation to real hardware, helping push robot capabilities from synthetic environments into reliable real-world deployment.

Develop learning systems for robots, including policies, world models, and vision-language-action models.

Build and maintain simulation environments and evaluation frameworks for robotic tasks.

Apply and advance computer vision and perception algorithms for autonomous robots.

Build pipelines connecting simulation and real-world robot deployment, covering both real-to-sim and sim-to-real workflows.

Work with robot hardware, sensors, actuators, and embedded systems to prototype and test capabilities.

Train and evaluate reinforcement-learning and imitation-learning systems for manipulation, locomotion, or mobile platforms.

Integrate robot platforms to validate algorithms in the physical world.

Create tools and infrastructure that accelerate robotics research and development.

Collaborate with external robotics companies and research labs on technical problems.

Research Engineer / Research Scientist, Robotics and Physical AI

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Clera

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