Software Architect, Network System Validation

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.

What You’ll Be Doing

• Design and implement network validation methodologies for system-level testing
• Build the systems that orchestrate millions of concurrent IO operations, inject chaos at the infrastructure layer (latency, congestion, losses, and hardware failures), and expose the hardest-to-find system faults
• Building the systems that capture, store and process TBs of telemetry data to produce autonomies root-cause-analysis and system level insights
• Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines
• Establish engineering practices — design docs, production-grade code reviews, testing philosophy, and cross-team technical alignment
• Produce clear, data-driven reports and insights
  
  

• B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience
• 12+ years of experience in developing large scale software projects
• Strong distributed system experience and system-level debugging skills
• Strong software skills: C/C++/Rust, Python (must), Bash
• Experience building automation frameworks and validation tools
• Experience building large-scale infrastructure platforms, internal developer platforms, or reliability engineering systems
• Deep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system behavior under stress
• Proven track record leading complex technical initiatives from architecture through delivery
• Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed
  
  

• Background with RDMA / RoCE / AI networking (NCCL)
• Experience with L2/L3/L4 networking protocols
• Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField)
• Background in performance analysis, Kubernetes, or cloud environments
• Background in chaos engineering, fault injection, or simulation systems