NVIDIA Corporation

Senior Systems Software Engineer, Compute Stack Acceleration

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related fields, 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 with hands-on experience in complex native software stacks.
  • Practical experience with GCC or LLVM/Clang, linkers, compiler options, and build systems.
  • Experience with performance profiling, root-cause analysis, and before-and-after validation.
  • Ability to lead projects through substantial technical and organizational ambiguity.

Responsibilities

  • Lead toolchain, build, code-health, and performance-workflow adoption projects.
  • Evaluate and deploy GCC and LLVM/Clang toolchains and configurations.
  • Integrate modern toolchains into complex build systems and CI environments.
  • Establish Clang diagnostic builds and evaluate optimization techniques.
  • Use profiling data and analysis for actionable performance findings.
  • Build automation scripts and migration helpers to improve adoption.
  • Document validated approaches for reuse by other engineering teams.

Benefits

  • Equity options as part of compensation package.
  • Comprehensive health coverage options.
  • Retirement savings plans with company match.
  • Generous paid time off policy.
  • Opportunities for professional development and training.
Full Job Description
We are looking for an experienced systems software engineer who can lead cross-stack engineering efforts from an ambiguous adoption problem to a measurable outcome. You will work closely with compiler, platform, performance, library, and application teams to validate new capabilities, resolve integration blockers, produce credible before-and-after evidence, and turn successful approaches into reusable engineering practices. Depending on your background and project needs, your initial work may emphasize toolchain, build, and code-health adoption or profiling, optimization, and evidence-routing workflows. The role is intentionally broad enough to evolve as the team identifies the highest-leverage opportunities across the stack.

What You'll Be Doing:
  • 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.


What We Need to See:
  • BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a 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.


Ways to Stand Out From the Crowd:
  • Experience with Arm64 systems, CPU architecture, vectorization, or SVE. Experience with LTO, PGO, AutoFDO, BOLT, binary optimization, or code-layout analysis.
  • Hands-on experience with Clang diagnostics, AddressSanitizer, or other code-health workflows.
  • Familiarity with PMU analysis, perf, flamegraphs, BRBE, SPE, ETM, or similar profiling technologies.
  • Experience with cross-compilation, sysroots, large monorepositories, Perforce-scale development, or distributed build systems.
  • Experience turning a successful migration or optimization into a maintained workflow used by multiple teams. Python or other scripting experience for engineering automation and data analysis.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 23, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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