ByteDance
XR Camera and Machine Vision Engineer Graduate (PICO) - 2027 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- PhD in EE, ECE, CS, Applied Physics, or a related technical discipline.
About the job
Develop efficient camera and machine-vision systems for VR/MR/AR, including hardware and software development, visual-performance testing, edge-device optimization, and next-generation camera specifications.
What you'll do
- Develop power- and compute-efficient machine-vision perception systems and camera hardware/software.
- Design experiments and test platforms to evaluate visual performance; optimize algorithms and frameworks for edge devices.
- Define specifications for next-generation VR/MR/AR cameras and see-through experiences.
What they ask for
- Completing or recently completed a PhD in EE, ECE, CS, Applied Physics, or a related technical discipline.
- Direct experience with cameras or optical image sensors and computer vision on real images.
- Hands-on hardware experience building and prototyping real systems.
- Research-level computer vision, efficient perception, or foundation-model experience, plus strong Python and C/C++ programming.
Nice to have
- Sensor-algorithm co-design, near-/in-sensor compute, event cameras, computational imaging, or efficient/edge perception.
- VLM/LLM/foundation models, low-power or edge deployment, AI-accelerator-aware design, 3D computer vision, or image-processing pipelines.
Tools
CMOS/CIS, FPGA, Python, C/C++, Matlab, VLM, LLM
AI focus
Apply modern ML, computer vision, efficient perception, and potentially foundation models to camera-based perception systems.
Model-written summary · the original posting is authoritative