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Clera

Research Engineer / Research Scientist, Robotics and Physical AI

San Francisco$100k–$300kfulltimemidAdded today

About this role

Join an early-stage robotics AI company to develop learning systems and simulation frameworks that bridge the gap between simulated robot training and real-world deployment. You'll own end-to-end projects spanning algorithms, computer vision, hardware integration, and physical robot testing.

What you'll do

  • Develop robot learning policies, world models, and vision-language-action systems
  • Build and maintain simulation environments and evaluation frameworks for robotic tasks
  • Apply computer vision and perception algorithms for autonomous robot capabilities
  • Create sim-to-real and real-to-sim pipelines connecting simulation to physical deployment
  • Work with robot hardware, sensors, actuators, and embedded systems for prototyping
  • Train and evaluate reinforcement learning and imitation learning systems for manipulation or locomotion

What they're looking for

  • Python and C++
  • Deep learning and reinforcement learning
  • Computer vision
  • Simulation platforms (Isaac Lab, MuJoCo, MJX, Genesis)
  • Sim-to-real transfer and domain adaptation
  • Robotics hardware and embedded systems
  • CAD and mechanical engineering
  • Multimodal AI (transformers, diffusion models, world models)

Benefits

  • Competitive salary range $100K–$300K annually
  • On-site position in San Francisco with modern robotics infrastructure
  • End-to-end ownership and autonomy as an individual contributor
  • Collaboration with leading robotics companies and research labs
  • Work on cutting-edge physical AI and embodied intelligence
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

View all jobs at Clera

Likely interview questions

  • Walk us through a sim-to-real or real-to-sim project you've led—what were the key challenges and how did you solve domain gap issues?
  • Describe your hands-on experience with robot hardware and sensors. What platforms have you worked with and what mechanical problems did you troubleshoot?