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NVIDIA's Networking Business Unit builds high-speed interconnects that enable AI supercomputers to move data at the scale and speed required for demanding workloads. The Network System Validation group treats validation as a first-class software problem, building systems, frameworks, and benchmarks to prove network correctness and performance at scale.

Tasks

  • 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 by reproducing real-world scenarios, analyzing logs, telemetry, packet captures, and system metrics to identify functional issues and performance bottlenecks, triaging problems across hardware and software, and driving them to root cause and resolution.
  • 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 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.
  • Lead the validation direction and engineering excellence of a technology validation team, owning the technical roadmap and mentoring engineers.

Requirements

  • B.Sc. / B.A. in Computer Science, Electrical Engineering, or equivalent experience.
  • 8+ years of experience in networking, system validation, or related domains.
  • Proven experience debugging complex production systems by forming hypotheses, designing experiments, and driving issues to root cause.
  • Ability to read, debug, and reason about C/C++ code (Rust or Go a plus).
  • 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, 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.
  • 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.
  • Creative and autonomous working style.
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Über uns
NVIDIA Switzerland AG ist die Schweizer Gesellschaft des internationalen Technologieunternehmens NVIDIA. Das Unternehmen ist in der Entwicklung, Vermarktung und Bereitstellung von Technologien, Produkten und Dienstleistungen in Bereichen wie künstliche Intelligenz, beschleunigtes Computing, Grafikprozessoren, Robotik, virtuelle Realität, Informatik und professionelle Visualisierung tätig. NVIDIA entwickelt weltweit Chips, Systeme, Software und Plattformen für Rechenzentren, Forschung, Gaming, Automobilindustrie, Industrieanwendungen, Gesundheitswesen und weitere technologieintensive Branchen. Die Schweizer Gesellschaft unterstützt die Aktivitäten von NVIDIA in der Schweiz und ist im Bereich IT-Dienstleistungen registriert.
Das Team

The Network System Validation group is a high-performance engineering force focused on validating advanced networking solutions across complex AI cluster environments.

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