1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Architect and maintain profiling frameworks providing a unified view across CPU and GPU environments.
- Benchmark EDA applications to analyze memory access patterns, cache hit rates, and instruction-level parallelism.
- Use GPU profilers to identify warp divergence, occupancy issues, PCIe bottlenecks, and kernel stalls.
- Monitor and attribute high-watermark memory usage in multi-terabyte EDA builds and identify compression or memory-pooling opportunities.
- Develop predictive models for hardware procurement and cloud instance selection based on gate count and algorithmic complexity.
Requirements
- Understand the CUDA programming model and use NVIDIA Nsight Systems or Nsight Compute to address GPU performance issues.
- Have extensive knowledge of systems profiling tools such as perf, eBPF, VTune, or Valgrind, including their internal mechanisms.
- Have more than 8 years of relevant experience, including at least 5 years of systems-level performance analysis.
- Have experience with distributed compute environments such as Slurm, LSF, or Kubernetes.
- Hold a BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field, or have equivalent experience.
- Demonstrate strong benchmarking skills and the ability to translate complex performance data into actionable engineering roadmaps.
Benefits
- Competitive base salary of $184,000-$287,500 for Level 4 or $224,000-$356,500 for Level 5, plus equity and benefits.
- Hybrid work arrangement.
- Applications are accepted at least until September 10, 2026.
Tech Stack
Categories
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.