Senior Systems Toolchain & Build Performance Engineer

NVIDIA; North Carolina; On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is growing a senior systems software engineering team focused on making our compute software stack first-class on NVIDIA CPU platforms. The role leads cross-stack engineering efforts across compiler, platform, performance, library, and application teams to validate new capabilities and remove blockers, turning successes into reusable practices.

You will spearhead toolchain, build, code-health, and performance-workflow adoption, integrating GCC/LLVM toolchains into complex build systems,

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.

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 continuous-integration 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.

Skills

C/C++ development

Linux systems

CI workflows

Cross-team collaboration

Debugging

GCC/LLVM/Clang

Performance profiling

Project leadership

Education

BS/MS/PhD in CS/CE/EE or equivalent

Tools

GCC

LLVM/Clang

Job description

NVIDIA is growing a senior systems software engineering team focused on making our compute software stack first-class on NVIDIA CPU platforms. The role leads cross-stack engineering efforts across compiler, platform, performance, library, and application teams to validate new capabilities and remove blockers, turning successes into reusable practices.

You will spearhead toolchain, build, code-health, and performance-workflow adoption, integrating GCC/LLVM toolchains into complex build systems,