CUDA Engineering Expert
New
IndiaContractMiddle
Salary80 - 120 USD per hour
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Job Details
- Experience
- 1 year
- Required Skills
- PythonGit
Requirements
- Available to work at least 20 hrs/wk.
- Fluent in core C++ features through C++17.
- Working knowledge of Python and Git.
- Fluent in at least one GPU programming model like CUDA, HIP, Slang, HLSL, or GLSL.
- At least 1 year of professional or graduate-level research experience with GPUs.
- Strong understanding of GPU profiler performance metrics for kernel optimization.
- Ability to optimize GPU kernels without deep prior context on every algorithm.
Responsibilities
- Analyze and optimize GPU kernels for performance, efficiency, and hardware utilization.
- Use profiler metrics like L2 cache hit rate, L2 throughput, and occupancy to guide kernel improvements.
- Review GPU kernel implementations to identify bottlenecks.
- Write, modify, and reason about C++17, Python, and GPU programming code.
- Apply CUDA, HIP, and shader programming expertise to improve performance outcomes.
- Document optimization decisions clearly.
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