Software Architect, Network System Validation
Quick Summary
Design and implement network validation methodologies for system-level testing Build the systems that orchestrate millions of concurrent IO operations,
B.Sc. / B.A. in Computer Science, Electrical Engineering,
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, 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. Come join the team and see how you can make a lasting impact on the world.
Within NVIDIA, the Networking Business Unit (NBU) builds the high-speed interconnect — Ethernet, InfiniBand, NVLink, and BlueField DPUs — that switches thousands of GPUs into a single AI supercomputer, moving data at the scale and speed the most demanding workloads require.
NVIDIA is looking for a Software Architect to join our Network System Validation group. You will work on developing systems for validating advanced networking solutions across NVIDIA complex AI cluster environments. The group is a high-performance engineering force that treats validation as a first-class software problem. We build systems, frameworks, and benchmarks that prove our network's correctness and performance at scale. This is a senior, deeply hands-on role for a technology leader who can own the software architecture, development roadmap, mentor a team of high-performance engineers, and push NVIDIA's network to its speed-of-light limits. This role combines the design of validation methodologies with hands-on development of testing frameworks, automation infrastructure, and advanced debugging, analysis, and investigation tools for network performance and functionality at scale.
Responsibilities
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Background with RDMA / RoCE / AI networking (NCCL)
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Experience with L2/L3/L4 networking protocols
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Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField)
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Background in performance analysis, Kubernetes, or cloud environments
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Background in chaos engineering, fault injection, or simulation systems
We have some of the most forward-thinking and hardworking people 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, disability status or any other characteristic protected by law.
Location & Eligibility
About this job
- Posted
- 12 days ago
Listing Details
- First seen
- October 18, 2026
- Last seen
- October 30, 2026
Posting Health
- Days active
- 11
- Repost count
- 0
- Trust Level
- 18%
- Scored at
- October 30, 2026
Signal breakdown
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