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techroles

Senior System Software Engineer, Enterprise MODS

NVIDIA nvidia.com Open · verified Oct 24, 2026
US, CA, Santa Clara Full-time Senior Software Engineering

At a glance

Senior Software Engineering role at NVIDIA. US, CA, Santa Clara · full-time · $184,000–$287,500 base.

SalaryStated by NVIDIA
$184,000 – $287,500
Base salary for this role, in USD per year, as published in the posting.
RoleSoftware Engineering
SenioritySenior
LocationUS, CA, Santa Clara
EmploymentFull-time
Base pay$184,000–$287,500
PostedOct 14, 2026 · 10d ago
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Build hardware and software diagnostics that stress-test CPUs, GPUs, memory, storage and interconnects on data center systems
  • Bring diagnostics into server platforms early, then guide integration as systems move through their lifecycle
  • Set validation plans for new server generations with architecture and hardware teams
  • Investigate difficult failures as a Level 2 contact and develop fixes that work across the system stack
  • Create production-line diagnostics and shape future diagnostic designs, while mentoring engineers

What you bring

  • At least eight years in engineering focused on diagnostics, embedded systems or cloud platforms
  • You have architected diagnostics for complex servers, particularly where hardware and software meet
  • Strong knowledge of x86 or ARM systems, operating system internals, firmware, BMC and platform security
  • You can build tools and automation in C, C++ or Python, and understand high-speed interconnects such as PCIe or Infiniband
  • A computer science, electrical engineering or related degree, or equivalent experience

Who this fits

This senior technical leadership role suits someone who can guide server diagnostics from platform integration through partner production and field issues. You’ll mentor engineers and work with architecture, hardware, customers and multidisciplinary teams.

From the employer

At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

The data center platforms like GB200 NVL72 by NVIDIA are redefining AI, HPC, and cloud computing. To accommodate leading workloads globally, our diagnostic systems need to evolve across diverse hardware technologies. We're in search of a visionary technical leader to engineer and propel innovation in diagnostics for NVIDIA's partner ecosystem. This role is essential in crafting how we validate, debug, and optimize complex server platforms across ODM factories, Cloud Service Provider (CSP) deployments, and field operations.

What You'll Be Doing:

  • Develop diagnostic systems for NVIDIA data center platforms, which involve hardware and software tools to develop the worst case stress workloads for CPUs, GPUs, memory, storage, and interconnects.

  • Lead platform bring-up and integration, ensuring diagnostics are embedded early and effectively across the server lifecycle.

  • Drive hardware validation strategy in collaboration with architecture and hardware teams, crafting robust validation plans for new server generations.

  • Analyze root causes of complex failures, acting as a Level 2 engineering contact for critical issues and offering scalable solutions across the stack.

  • Develop diagnostics software to ensure quality and performance at scale across ODM and partner production lines.

  • Mentor and grow engineering teams, providing technical leadership and encouraging a culture of innovation and excellence.

  • Influence the long-term strategy by developing diagnostic architecture and roadmaps for the upcoming products of NVIDIA and its partners.

What we need to see:

  • Proven experience architecting diagnostics for complex server systems, especially at the SW/HW interface.

  • Deep systems knowledge: x86/ARM architectures, Linux/Windows OS internals, firmware (UEFI/BIOS), BMC, and platform security.

  • Ability to weigh tradeoffs in system development and drive the most optimum solutions with customers and multi-disciplinary teams

  • Expertise in programming languages like C, C++, and Python for tool development and automation.

  • Familiarity with high-speed interconnects such as PCIe, Infiniband, NVLink, and Ethernet.

  • Strong communication skills to engage with technical and executive team.

  • BS/MS or equivalent experience in Computer Science, Electrical Engineering, or related field.

  • 8+ years of engineering experience in diagnostics, embedded systems, or cloud platforms.

Ways to stand out from the crowd:

  • Experience driving diagnostics across rack-level or cluster-level deployments.

  • Background in cloud-scale infrastructure and partner engagement.

  • Demonstrated success in influencing product direction and vendor roadmaps.

  • Passion for mentoring and building high-performing teams.

NVIDIA is at the forefront of AI, HPC, and visualization. Our diagnostics are the nervous system of our platforms—ensuring reliability, performance, and innovation at scale. If you're a creative, driven architect ready to shape the future of diagnostics, we want to hear from you.

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software Engineering$180k+

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By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.