Technical Lead - Network System Validation

NVIDIA is seeking a Technical Lead to join the Network System Validation group. The successful candidate will lead the validation of advanced networking solutions across complex AI cluster environments. This is a hands-on technical leadership role, combining ownership of the validation roadmap with technical mentoring and engineering excellence.

Key Responsibilities:

• Review system and product requirements, design validation methodologies, and develop comprehensive test plans 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, reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks
• Read and understand source code (C/C++/Python) to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities
• Collaborate with software and hardware development teams to debug networking technologies, including NCCL, RoCE, RDMA, and related software components
• 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

Requirements:

• B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience
• 12+ years of experience in networking, system validation, or related domains
• Proven experience debugging complex production systems
• Ability to read, debug, and reason about C/C++ code
• Strong scripting and automation experience using Python, Bash, and/or Ansible
• Deep understanding of distributed systems: concurrency, consistency models, fault tolerance, and large-scale system performance under stress
• Ability to drive technical alignment across teams and make high-quality architectural decisions at speed

Preferred Qualifications:

• 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