← All roles

Senior Systems Software Engineer - GPU Performance at Scale

NVIDIA· Engineer, Sys SW
Apply on company site
Santa Clara, CA, Hybrid (Remote (Texas)), Hybrid (Remote (North Carolina)), Remote, Hybrid (Remote - California)$184k - $287.5kFull-timePosted 7mo ago

About the role

Senior Systems Software Engineer focusing on GPU performance at scale. Role involves leading performance practices for large-scale GPU infrastructure, aligning AI workloads with datacenter builds, and developing tools and workflows to validate and optimize AI workloads at scale.

Responsibilities

  • Lead the implementation of performance practices in large-scale GPU infrastructure, delivering tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.
  • Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware. Engage early with HW/FW/SW/platform internal and customer teams.
  • Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.
  • Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.
  • Collaborate with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop methods and tools. Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.

Qualifications

  • Proven understanding of accelerated computing software stacks (CUDA).
  • Experience with modern cloud and container-based enterprise computing architectures, with Slurm preferred.
  • Strong programming and scripting experience in C/C++/Python/Bash.
  • Deep expertise in systems architecture and the impact of various components on performance.
  • Experience with container technology and Linux-based OSes, with Docker preferred.
  • Experience supporting high-performance computing or deep learning in engineering or academic research communities.
  • Strong teamwork and communication skills, coupled with results-focused analytical abilities.
  • BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience); MS or PhD desirable with 8+ years of applicable experience.

Skills

Required:CUDACloud and container-based enterprise computingC/C++/Python/BashSystems architectureDockerHPC/deep learning support

Benefits

  • Equity
  • Benefits (see NVIDIA benefits page)
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

AIautonomous vehiclesgaminggpugraphics cardhigh performance computingliquid-ai-recruiting-targetllm
Company profileWebsite

More open roles at NVIDIA