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Engineering Manager, Network System Validation

NVIDIA· Mgmt, Sys SW
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Yokneam, Raananafull-timePosted 1mo ago

About the role

Engineering Manager leading the Network System Validation group within NVIDIA's Networking Business Unit. Responsible for technical roadmap, mentoring a team of engineers, and validating advanced networking solutions at scale in large AI cluster environments.

Responsibilities

  • 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

Qualifications

  • 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

Skills

Required:Team leadership and mentoringTest planning and validation methodologiesAutomation and scriptingDebugging complex systemsNetworking technologies
Last updated Sep 11, 2026. Interested? Apply on the company site.

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