Senior Systems Software Engineer - NVLink

Reposted 6 Days Ago
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Santa Clara, CA, USA
In-Office
148K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Responsible for feature enablement on GPU systems, developing software tools for multi-GPU interconnects, and collaborating with hardware and software teams on firmware design and testing.
Summary Generated by Built In

As a member of our NVLink team, you will be responsible for driving feature enablement on GPU systems and developing software tools and infrastructure for our next-generation GPU's which enables high-performance interconnect of multi-GPU systems. Familiarity with high-performance systems and networking protocols and architectures is a bonus.

What you'll be doing:

  • Drive platform bringup, feature enablement and debug on GPU systems. Triage and resolve software and firmware issues uncovered in systems qualification runs.

  • Collaborate with architecture, hardware and firmware and software teams on firmware design with a focus on debug and test (DFx) and end-to-end performance. Delight customers by incorporating findings from the customer engagements into future products.

  • Log bugs and track issues to closure across impacted product lines.

  • Work on developing AI based automation tools and infrastructure to improve our firmware development, regressions and verification process

What we need to see:

  • BS or MS (or equivalent experience) degree in EE/CS or related field

  • 5+ years of minimum experience in a software verification role

  • Excellent debugging and analytical skills

  • Software Development/ Verification knowledge is a bonus

  • Experience with Python/Perl/C/C++

  • Familiarity with computer system architecture, microprocessors, and microcontroller fundamentals (caches, buses, DMA, etc).

  • Excellent interpersonal skills and ability to collaborate with on-site and remote teams

Ways to stand out from the crowd:

  • You're passionate about low level software development/debug/verification

  • Experience with AI and DL tools and technologies

  • Experience with RTOS/RISCV programming/debugging

  • Ability to work independently with minimum supervision

  • Schedule oriented with excellent execution abilities

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the highest performance & lowest power silicon possible? If so, we want to hear from you. Come, join our NVLink design team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.

#LI-Hybrid

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 - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

Top Skills

C
C++
Perl
Python
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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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