AR/VR Vision AI Engineer — Low-Latency Edge ML

ByteDance; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid parental leave

Disability insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

ByteDance's EE Platform team in California focuses on silicon and EE architecture for AR/VR platforms to optimize power, latency and performance, with HW/SW co-optimization for imaging, display and connectivity. We seek talented graduates who will pursue bold ideas, tackle challenging problems, and rapidly translate research into working prototypes through hands-on experimentation.

Successful candidates must commit to an onboarding date by the end of the year; please state your availability and

Qualifications

• PhD in Electrical Engineering, Computer Science, Physics or related discipline.
• Research experience in ML algorithms or AI accelerator design.
• Proficiency with C/C++, MATLAB, Python.

Responsibilities

• Innovate and develop a power-efficient, low-latency, highly intelligent machine perception vision system in a VR/AR product.
• Develop training and data collection pipelines with state-of-the-art ML algorithms for scene understanding.
• Map ML algorithms to HW accelerators, optimize performance, and propose HW/SW co-design.
• Collaborate with cross-functional teams to translate requirements into cloud-edge workloads and edge HW/SW needs.
• Perform quantitative evaluations via system modeling and FPGA prototyping to validate ideas.

Skills

C/C++

MATLAB

Python

ML frameworks

Education

PhD in Electrical Engineering, Computer Science, Physics or related field

Tools

FPGA

Job description

ByteDance's EE Platform team in California focuses on silicon and EE architecture for AR/VR platforms to optimize power, latency and performance, with HW/SW co-optimization for imaging, display and connectivity. We seek talented graduates who will pursue bold ideas, tackle challenging problems, and rapidly translate research into working prototypes through hands-on experimentation.

Successful candidates must commit to an onboarding date by the end of the year; please state your availability and