Remote CUDA Kernel Performance Engineer

Mercor; United States; On-site; USD 110,000 - 165,000; Part time

Job summary

Mercor is seeking a CUDA Engineering Expert for remote, contract-based work. You will analyze and optimize GPU kernels, using profiling metrics to drive improvements. Proficiency in C++17, Python, and GPU programming models (CUDA/HIP) is required, with at least one year of GPU research experience.

The role emphasizes documenting optimization decisions and applying shader/programming techniques to achieve performance gains. 20 hrs/week availability is needed.

Qualifications

• 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 without needing extensive algorithmic background.
• 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, noting when specific profiler metrics are useful.

Skills

C++17

Python

Git

CUDA

HIP

GPU Programming

Tools

Nsight Compute

Inline PTX

Job description

Mercor is seeking a CUDA Engineering Expert for remote, contract-based work. You will analyze and optimize GPU kernels, using profiling metrics to drive improvements. Proficiency in C++17, Python, and GPU programming models (CUDA/HIP) is required, with at least one year of GPU research experience.

The role emphasizes documenting optimization decisions and applying shader/programming techniques to achieve performance gains. 20 hrs/week availability is needed.