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Senior Systems Software Engineer, Compute Stack Acceleration

NVIDIA· Engineer, Sys SW
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Hybrid (Remote / Local), Santa Clara, CA$184k - $287.5k + equityFull-timePosted 3mo ago

About the role

Senior systems software engineer role focused on making the compute software stack first-class on NVIDIA CPU platforms, leading cross-stack adoption projects, collaborating with compiler, platform, performance, library, and application teams to validate capabilities, resolve blockers, and turn approaches into reusable practices.

Responsibilities

  • Lead toolchain, build, code-health, and performance-workflow adoption projects across large software components.
  • Evaluate and deploy supported GCC and LLVM/Clang toolchains, compiler options, linkers, sysroots, and cross-compilation configurations.
  • Integrate modern toolchains and workflows into complex build systems and CI environments.
  • Establish useful Clang diagnostic builds and targeted sanitizer coverage in partnership with component owners. Evaluate techniques such as link-time optimization, profile-guided optimization, AutoFDO, and BOLT on representative software.
  • Use profiling, PMU data, flamegraphs, and binary/source analysis to identify actionable performance and code-quality findings.
  • Build automation, wrappers, validation scripts, dashboards, and migration helpers where they improve adoption and repeatability. Measure changes in runtime, code size, build time, launch latency, throughput, quality, or engineering velocity.
  • Drive complex blockers to the appropriate compiler, runtime, library, infrastructure, or component owner.
  • Document validated approaches as reusable playbooks for other engineering teams. Communicate technical results and tradeoffs clearly to engineers and leadership.

Qualifications

  • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
  • 8+ years of relevant systems software engineering experience.
  • Strong C and C++ development, debugging, and code-review skills.
  • Strong Linux systems knowledge and hands-on experience with complex native software stacks.
  • Practical experience with GCC or LLVM/Clang, linkers, compiler options, and build systems.
  • Experience working in large, multi-component codebases and CI environments.
  • Experience with performance profiling, root-cause analysis, and before-and-after validation.
  • Ability to lead projects with substantial technical and organizational ambiguity.
  • Excellent written and verbal communication and a record of effective cross-team collaboration.

Skills

Required:C and C++ developmentLinux systemsGCC / LLVM/ClangPerformance profilingCross-team collaboration

Benefits

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

About NVIDIA

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

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