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# Camera System Architect- PICO Lab VST - San Jose

- **Company:** BYTEDANCE INC.
- **Location:** San Jose, CA, United States
- **Experience:** Experienced
- **Salary:** $162,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Virtual Camera Systems, Software Code Optimization, Software Debugging, Image Quality, Machine Learning, Systems Development Life Cycle, Rapid Prototyping Process, Software Tools, Systems Architecture, Large Language Models, Information Technology
- **Published:** September 1, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/bytedance/camera-system-architect-pico-lab-vst-san-jose/356229

## About the Role

Minimum Qualifications - Master's or PhD in Optical Engineering, Electrical Engineering, Computer Science, Computational Imaging, or related fields. - 3+ years of experience in camera or imaging system development, with scope spanning both hardware and software. - Proven full-cycle product development experience, including prototype builds, EVT, DVT, and mass production, in a hardware product environment. - Leverage AI-assisted engineering tools (LLMs, VLMs) to accelerate design iteration, analysis, debugging, and technical decision-making. - Strong system-level thinking, first-principles reasoning, and ability to make and defend complex technical trade-offs. - Demonstrated ability to work effectively across cross-functional engineering teams. Preferred Qualifications - Familiarity with SoC / ISP / NPU architectures and model-to-hardware adaptation or optimization. - Hands-on experience with computer vision and machine learning, particularly in real-time or resource-constrained
systems. - Prior ownership of camera system architecture or subsystem technical leadership.

## Description

About team: The VST/camera team focuses on finding low power, high image quality solutions for AR/VR camera systems, including developing CMOS sensors, novel optical/imaging sensors, ultra-compact camera module technologies, camera lens design, and algorithms. The team is vertically integrating HW/SW for system optimization, shaping the AI experience for the future. Responsibilities - Define and own the system architecture of end-to-end camera solutions, spanning optics, image sensors, compute platforms, mechanics, algorithms, and software. - Drive hardware-software co-design to optimize system-level performance, power, cost, and scalability. - Lead system-level imaging and perception performance definition, evaluation, and optimization across hardware and AI-based processing. - Design and integrate computer vision and AI algorithms into production camera systems. - Evaluate and integrate emerging imaging and AI technologies to maintain product competitiveness.