Camera System Architect- PICO Lab VST - San Jose

What you'll do

• Define and own end-to-end camera system architecture and drive hardware–software co-design.
• Define, evaluate, and optimize imaging and perception performance across hardware and AI-based processing.
• Design and integrate computer vision and AI algorithms into production camera systems, and evaluate emerging imaging and AI technologies.

What they ask for

• Master’s or PhD in Optical Engineering, Electrical Engineering, Computer Science, Computational Imaging, or a related field.
• 3+ years of camera or imaging system development experience spanning hardware and software.
• Full-cycle hardware product development experience, including prototype builds, EVT, DVT, and mass production.
• Experience leveraging AI-assisted engineering tools (LLMs, VLMs) for design iteration, analysis, debugging, and technical decision-making.

Nice to have

• Familiarity with SoC / ISP / NPU architectures and model-to-hardware adaptation or optimization.
• Hands-on computer vision and machine learning experience, particularly in real-time or resource-constrained systems; prior camera architecture ownership or subsystem technical leadership.

Tools

CMOS sensors, SoC, ISP, NPU, LLMs, VLMs

AI focus

Integrate AI-based processing and computer vision/AI algorithms into production camera systems; use LLMs and VLMs to accelerate engineering design iteration, analysis, debugging, and technical decision-making.