Perception Engineer

The RoleRaydar 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 DoRe-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 For4 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 PointsExposure to industries where reliability and safety are critical.BenefitsHealth insuranceCommuter benefitsFamily planning benefitsLocation And Work ModelSan Francisco, CA, United StatesHybrid, 4 days in officeFull-timeCompensation, As The Posting Describes ItEquityRetirement plan