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Clera

Robotics Engineer

San Francisco$150k–$225kfulltimemidAdded today

About this role

A Y Combinator-backed humanoid robotics startup seeks a Robotics Engineer to develop autonomy software for humanoid robots, including perception, locomotion, and interaction systems. You'll work hands-on with cutting-edge hardware, advise manufacturers on sensor and hardware design, and iterate directly on customer deployments in real-world environments.

What you'll do

  • Develop onboard C++20 and offboard Python autonomy software for humanoid robot platforms
  • Implement and improve camera-based 3D perception including detection, tracking, and gesture recognition
  • Advise robot manufacturers on sensor placement, hardware interfaces, and operational design
  • Enhance locomotion algorithms for safe, reliable walking in public environments
  • Collaborate with animators to refine robot movement and body language
  • Deploy and maintain software on custom-hardware-equipped humanoid robots in live customer environments

What they're looking for

  • C++20 or Rust (systems-level programming)
  • Robotics autonomy and autonomous systems
  • Camera-based 3D perception and computer vision
  • Hardware debugging and systems integration
  • Python 3.14 (offboard software development)
  • Real-world robotics deployment experience
  • Gesture and body language recognition
  • Hardware sensor placement and interfacing

Benefits

  • Competitive salary: $150,000–$225,000 USD annually
  • Visa sponsorship and work authorization support
  • Full-time, on-site position in San Francisco
  • High-ownership role with direct customer impact
  • Hands-on work with cutting-edge humanoid robotics hardware
  • Tight-knit, collaborative engineering team
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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.

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Likely interview questions

  • Describe a robotics product you shipped to production—what were the biggest integration challenges between software and hardware, and how did you resolve them?
  • Walk us through your experience with camera-based 3D perception systems. What detection, tracking, or recognition tasks have you implemented?
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