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LinkedIndavid@raydar.xyz

Perception Engineer

Technology company

  • LocationSan Francisco, California
  • TypeFull-time
  • Posted30 September 2026

The role, as published

About the company

Our client is a technology company.

The role

Raydar is recruiting for this role on behalf of our client. Own and improve a production computer vision service running on embedded hardware, delivering performance and stability gains to a system already in use in the field. The work centers on tuning real-time video and model pipelines and partnering closely with hardware and systems colleagues.

What you'll do

  • Re-architect and optimize an existing real-time perception service so it handles more video streams with better stability.
  • Evaluate and integrate faster, higher-performing models while keeping real-time performance on edge hardware.
  • Bring depth estimation capabilities onto embedded compute to support three-dimensional tracking.
  • Tune the video and inference stack on edge devices to get the most out of the hardware.
  • Work with hardware and systems engineers to ship perception improvements to deployed systems.

What we're looking for

  • 4 to 7 years of experience, with strong Python and C++ skills.
  • Hands-on experience building production perception or machine learning systems, beyond research work.
  • Familiarity with GPU-accelerated inference tooling and deployment on embedded edge devices.
  • Prior work applying computer vision within physical, hardware-based products.
  • Solid grasp of video pipelines and how camera feeds behave in real deployments.
  • Track record of taking vision models from development into live use, including object tracking across frames.
  • Ability to own system architecture at a senior level.
  • Self-directed working style with comfort collaborating across functions in a fast-moving startup.
  • Bachelor's or master's degree in computer science.

Bonus points

  • Exposure to industries where reliability and safety are critical.

Benefits

  • Health insurance
  • Commuter benefits
  • Family planning benefits

Location and work model

  • San Francisco, CA, United States
  • Hybrid, 4 days in office
  • Full-time

Compensation, as the posting describes it

  • Equity
  • Retirement plan

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