What you’ll be doing
Lead, mentor, and coach a team of software development and system validation engineers.
Review system and product requirements, design validation methodologies, develop comprehensive test plans, functional and performance, for networking technologies in large-scale AI cluster solutions
Develop and maintain benchmarks, automation tools and scripts for test execution, environment setup, log collection, and data analysis.
Lead end-to-end investigation of complex issues by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across the hardware and software stack, and driving them to root cause and resolution
Collaborate deeply with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components using targeted experiments and code inspection
Profile and research AI training and inference workloads, correlating application behavior with network and system telemetry to identify scalability and performance limitations
Document findings, communicate technical results, and continuously improve validation methodologies, automation environments, and engineering processes
Foster a team culture centered on software quality, accountability, and technical excellence
What we need to see
B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience
8+ overall years of experience in networking, system validation, or related domains
3+ years of experience leading software or system development team
Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause
Strong scripting and automation experience using Python, Bash, and/or Ansible
Ability to read, debug, and reason about C/C++ code (Rust or Go a plus)
Ability to drive technical alignment across teams, communicate tradeoffs clearly, and make high-quality architectural decisions at speed
Advance AI-driven approaches to test automation: intelligent scenario generation, LLM-augmented root-cause analysis, and autonomous validation pipelines
Ways to stand out from the crowd
Experience with large-scale clusters or distributed systems
Familiarity with NVIDIA networking solutions (ConnectX, SpecX, BlueField)
Background in performance analysis, Kubernetes, or cloud environments
Background in chaos testing, 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.
