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Senior Performance Architect - Heterogeneous Workload Optimization

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Durham, NC, Austin, TX, Westford, MA$184k - $287.5k + equityfull-timePosted 7mo ago

About the role

Senior Systems Performance Engineer focused on profiling infrastructure for EDA workloads transitioning to GPU-accelerated engines. Responsible for measuring, analyzing, and optimizing interactions between large design graphs in system memory and high-throughput GPU kernels, across CPU and multi-node GPU environments.

Responsibilities

  • Architecting and maintaining custom profiling frameworks that provide a unified view of execution across CPU (multi-core/multi-socket) and GPU (multi-node/NVLink) environments.
  • Conducting deep-dive benchmarking of EDA applications to characterize memory access patterns, cache hit rates, and instruction-level parallelism.
  • Using GPU profilers to detect GPU-side inefficiencies such as warp divergence, sub-optimal occupancy, and PCIe/NVLink bottlenecks.
  • Developing tools to monitor and attribute high-watermark memory usage in multi-terabyte EDA builds, finding opportunities for data structure compression or smarter memory pooling.
  • Developing predictive models to guide hardware procurement and cloud instance selection based on built gate-count and algorithmic complexity.

Qualifications

  • A grasp of the CUDA programming model and experience employing GPU profiling tools like NVIDIA Nsight Systems/Compute to address PCIe bottlenecks and kernel stalls.
  • Extensive knowledge of profiling tools such as perf, eBPF, VTune, or Valgrind, along with insight into their internal mechanisms.
  • A passion for meticulous benchmarking and the ability to distill sophisticated performance data into actionable engineering roadmaps.
  • Experience with distributed compute environments (Slurm, LSF, or Kubernetes).
  • A BS, MS, or PhD in Computer Science, Electrical Engineering, or a related field (or equivalent experience) with more than 8+yrs of relevent experience and at least 5 years involved in systems-level performance analysis.

Skills

Required:CUDA programming modelGPU profiling tools (Nsight Systems/Compute)Profiling tools (perf, eBPF, VTune, Valgrind)Distributed compute environments

Benefits

  • equity
  • comprehensive benefits package
Last updated Sep 11, 2026. Interested? Apply on the company site.

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