XR Camera & Vision Engineer — Graduate

Bytedance; San Jose (CA); On-site; USD 123,000 - 223,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Short-term and long-term disability

Life insurance

Wellbeing benefits

10 paid holidays per year

10 paid sick days per year

Paid Personal Time

Job summary

ByteDance's Pico division in San Jose invites a PhD‑level candidate to join our VR/AR vision team. You will advance power‑ and compute‑efficient machine vision for edge devices and contribute to next‑generation cameras and see‑through experiences.

You will collaborate across hardware and software disciplines, prototype real systems, and optimize perception models with real‑world data, aiming for robust, scalable solutions in enterprise applications.

Qualifications

• PhD in a technical field completed or near completion.
• Experience with cameras/optical image sensors and CV on real images.
• Hands-on hardware experience: PCB, FPGA, sensor bring-up, embedded.
• Strong Python and C/C++ programming skills.
• Proactive, self-motivated, strong communication in a multidisciplinary team.

Responsibilities

• Develop power- and computationally efficient machine vision perception systems.
• Camera system level HW and SW development.
• Design experiments and test platforms for visual performance evaluation.
• Optimize perception algorithms for edge devices with HW/SW architecture.
• Define specs for next generation VR/MR/AR cameras and see-through experiences.

Skills

PhD in EE/CS

Camera/vision experience

Hardware prototyping

Python

C/C++

Proactive communication

Education

PhD in EE/ECE/CS

Tools

PCB design

FPGA

Embedded hardware

Job description

ByteDance's Pico division in San Jose invites a PhD‑level candidate to join our VR/AR vision team. You will advance power‑ and compute‑efficient machine vision for edge devices and contribute to next‑generation cameras and see‑through experiences.

You will collaborate across hardware and software disciplines, prototype real systems, and optimize perception models with real‑world data, aiming for robust, scalable solutions in enterprise applications.