GPU Developer | Remote

Work Snapshot

Type:

Contract

Location:

Remote

Commitment:

10-40 hrs/week

Compensation:

$300

What You'll Be Doing

• Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
• Use profiler metrics such as L2 cache hit rate, L2 throughput, and occupancy to guide kernel improvements.
• Review GPU kernel implementations and identify bottlenecks.
• Write, modify, and reason about C++17, Python, and GPU programming code.
• Apply CUDA, HIP, shader programming, or related kernel programming expertise to improve performance outcomes.
• Document optimization decisions clearly, including when specific profiler metrics are or are not useful.

What We're Looking For

• Fluent in core C++ features through C++17.
• Working knowledge of Python and Git.
• Fluent in at least one GPU programming model, such as CUDA, HIP, Slang, HLSL, GLSL, or related kernel programming.
• Have strong relevant experience in the domain working with GPUs.
• Strong understanding of GPU profiler performance metrics and how to use them to optimize kernels.
• Ability to optimize GPU kernels without needing deep prior context on every algorithm.

Application Process

• Submit your application through the Easy Apply button.
• Each application will be reviewed against the role requirements.
• Candidates who meet the requirements will receive an email with the next steps.
• Follow the instructions provided in the email to complete the remainder of the application process.