EngineeringNewText
CUDA Engineering Expert
Review CUDA kernel implementations, audit GPU code for correctness and performance, and evaluate AI-generated systems code for safety-critical inference paths.
Rate
$130–$200 / hr
Placed this month
12
Commitment
6–12 hours per week, fully remote
Responsibilities
What you'll do
- Review CUDA kernel code for correctness, memory safety, and performance.
- Identify race conditions, memory leaks, and numerical instability in GPU code.
- Evaluate AI-generated systems code against production engineering standards.
- Benchmark kernel performance and recommend optimization strategies.
Requirements
What we need
- 5+ years of GPU programming experience (CUDA, ROCm, or equivalent).
- Production experience with ML inference optimization.
- Strong C/C++ and systems programming background.
- Experience with profiling tools (Nsight, nvprof, or equivalent).
Ready to apply
15 minutes. One interview. Verified for life.
Complete one domain interview and you'll be matched to paid research work — including this role — within a week.