Senior Software Architect, GPU Networking Research

Sorry, this job was removed at 12:15 a.m. (UTC) on Thursday, Sep 24, 2026
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2 Locations
In-Office or Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Software Architect will enhance NVIDIA’s GPU Networking for AI workloads, lead architectural designs, proof-of-concept developments, and evaluate new technologies. Requires deep expertise in systems architecture and a strong background in networking, virtualization, and storage.
Summary Generated by Built In

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs. As a principal architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What you’ll be doing:

  • Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads.

  • Lead vision, architecture and design of such technologies.

  • Lead proof-of-concept development to evaluate and drive such technologies.

  • Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.

  • Work with the community and maintainers to drive strategic technologies

What we need to see:

  • Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).

  • 8+ years of industry experience (or equivalent) in systems architecture or related fields.

  • Experienced in virtualization, networking and storage.

  • Experienced in either Windows or Linux drivers, with a very good background of the other OS.

  • Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads.

  • A teammate with a can-do attitude, high energy and excellent interpersonal skills.

  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

  • Shown research track record.

  • Have experience and passion for system architecture, CPU/GPU/memory/storage/networking.

  • Stellar communication skills.

  • Knowledge in Deep Learning frameworks

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

  • M.Sc. or Ph.D. in Computer Science or Electrical/Computer Engineering
  • 8+ years of industry experience in systems architecture or related fields
  • Experience in virtualization, networking, and storage
  • Experience with Windows or Linux drivers
  • Deep understanding of performance profiling and optimization techniques
  • Ability to work in a multi-national, multi-time-zone corporate environment

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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