ByteDance
XR Camera and Machine Vision Engineer Graduate (PICO) - 2026 Start (PhD)
San Jose, California · Full-time · Posted Oct 28, 2026
- Education
- PhD in EE, ECE, CS, Applied Physics, or a related technical discipline; candidates must be completing or have recently completed it.
About the job
Develops efficient machine-vision camera systems and perception algorithms for next-generation VR/MR/AR cameras and see-through experiences.
What you'll do
- Develop power- and compute-efficient machine-vision perception systems, including camera hardware and 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 experience physically building and prototyping real systems, such as PCB, FPGA, sensor/optical front-end bring-up, or embedded systems.
- Research-level computer vision, efficient perception, or foundation-model experience, plus strong Python and C/C++ programming.
Nice to have
- Experience at the hardware–algorithm intersection, including sensor-algorithm co-design, near-/in-sensor compute, event cameras, computational imaging, or efficient/edge perception.
- VLM/LLM/foundation-model use for perception, edge deployment or AI-accelerator-aware design, 3D vision/reconstruction, or image-processing pipelines.
Tools
CMOS/CIS, Python, C/C++, Matlab, PCB, FPGA, VLM/LLM
AI focus
Machine-vision perception and efficient edge-device algorithms; preferred work includes leveraging VLM/LLM/foundation models and AI-accelerator-aware model design.
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