Senior Systems Software Engineer - GPU Diagnostics

Reposted An Hour Ago
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Santa Clara, CA, USA
In-Office
152K-242K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves designing, implementing, and debugging NVIDIA's software stack, focusing on GPU diagnostics, with deep hardware understanding and collaboration across multiple teams.
Summary Generated by Built In

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.
 

We are searching for outstanding senior system software engineer to join the NVIDIA's GPU Diagnostics SW team. Our charter is to develop the most demanding applications a GPU or high-performance computing server will encounter in its lifecycle, working closely with kernel driver team, GPU architecture team, system design team, and manufacturing organizations. The best candidates will have strong C++ programming skills, detailed knowledge of device programming, algorithms, a solid foundation of systems software with emphasis on OS fundamentals, and a deep understanding of current generation hardware architecture at systems level.

What You’ll Be Doing:

  • Design, implement, unit test and debug changes in the NVIDIA SW stack to take next-gen HW from design / development stage to production.

  • Be heavily involved in emulation, bring-up, and product hardening required to build our groundbreaking products

  • You will follow the devices all the way from manufacturing through the development process to datacenter systems, customer desktops, notebooks and workstations.

  • Tackle a variety of problems that directly impact NVIDIA’s end users and partner OEMs.

  • This job will require a deep understanding of our hardware and software architectures.

What We Need to See:

  • BS or MS degree in Computer Engineering, Computer Science, or related degree, or equivalent experience.

  • Excellent programming skills and proficiency in C/C++ language, libraries, and toolchains.

  • 5+ years hands-on experience developing low level systems software, preferably using Linux OS. 

  • Strong software engineering skills combined with a drive to solve hard problems are a must. 

  • Familiarity with computer system architecture, microprocessor and fundamentals (caches, buses, memory controllers, DMA, etc.)

  • Previous experience of working on a large system software code base is preferable.

  • Good written and verbal communication skills, along with strong collaborative and networking abilities.

  • Proven ability to thrive in high-pressure, fast-paced development environments, especially during critical project phases.

  • Ability to self-manage, show leadership, and have good interpersonal skills

  • Demonstrated proficiency using modern AI productivity tools to streamline day-to-day work, improve quality, and automate routine tasks.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 3, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Skills Required

  • BS or MS degree in Computer Engineering, Computer Science, or related degree, or equivalent experience
  • 5+ years hands-on experience developing low-level systems software, preferably using Linux OS
  • Excellent programming skills and proficiency in C/C++ language, libraries, and toolchains
  • Strong software engineering skills and a drive to solve hard problems
  • Familiarity with computer system architecture, microprocessor fundamentals
  • Good written and verbal communication skills
  • Ability to self-manage and show leadership

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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