Perception Engineer

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.

Requirements

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

Compensation and benefits

- Base salary: USD 220,000 to 270,000 per year

- Equity

- Health insurance

- Retirement plan

- Commuter benefits

- Family planning benefits

Location and work model

- San Francisco, CA, United States

- Hybrid, 4 days in office

- Full-time