Senior System Software Architect, AI Networking

Posted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Architect and define next-generation Spectrum-X, InfiniBand and NVLink system/software architectures. Research and run POCs, evaluate SW/HW impact across layers from algorithms to firmware, and collaborate with VLSI, system software, firmware, and research teams to deliver high-performance ML/AI interconnect solutions.
Summary Generated by Built In

Our technology has no boundaries! NVIDIA is building the world’s most groundbreaking and state of the art accelerated compute platforms for the world to use. It’s because of our work that scientists, researchers and engineers can advance their ideas. We pioneered a supercharged form of computing loved by the fastest paced computer users in the world - scientists, designers, artists, and gamers.

We are seeking a highly motivated architect to join our team of experts and take part in shaping the future of high-performance ML / AI computing. Our next-generation Spectrum-X, InfiniBand and NVLink systems will be at the heart of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today. As a system/software architect at NVIDIA, you will have the opportunity to work on some of the most innovative technology that is currently driving the world forward.

What you’ll be doing:

  • Define the next generations of Spectrum-X, InfiniBand and NVLink SW architecture.

  • Research of various solutions by defining and running POCs, evaluate SW and HW impact and conveying the solution architecture to the relevant teams. The solutions can span over various layers: from algorithms and high level software to firmware and HW.

  • Collaborate with multi-functional teams, including other architecture teams, VLSI logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

What we need to see:

  • B.Sc in Computer Science, Computer Engineer or Electrical Engineer.

  • At least 5 years proven experience in VLSI, FW or SW design/architectural roles.

  • Good grasp of networking layers and SW-HW co-design.

  • Possess strong managerial, problem solving and critical thinking skills.

  • Ability to work and operate in a highly dynamic environment on multiple concurrent projects with multiple groups.

Ways to stand out of the crowd:

  • M.Sc / PhD in relevant fields (Math, Computer Science, Computer Engineer or Electrical Engineer).

  • Knowledge/hands-on experience in network protocols - such as InfiniBand, IP, TCP and RoCE.

  • Knowledge/experience in network topologies, LLM or DL (research or design).

  • Architectural experience in SW-HW co-design.

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. If you're creative and autonomous, we want to hear from you!

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

  • B.Sc in Computer Science, Computer Engineering or Electrical Engineering
  • At least 5 years proven experience in VLSI, firmware or software design/architectural roles
  • Good grasp of networking layers and SW-HW co-design
  • Strong managerial, problem solving and critical thinking skills
  • Ability to work in a highly dynamic environment on multiple concurrent projects with multiple groups
  • M.Sc or PhD in relevant fields (Math, CS, Computer Engineering or Electrical Engineering)
  • Hands-on experience in network protocols such as InfiniBand, IP, TCP and RoCE
  • Knowledge/experience in network topologies and LLM or DL (research or design)
  • Architectural experience in SW-HW co-design

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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