Senior Network Software Validation Engineer – AI Clusters

NVIDIA
Zurich, Switzerland
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: bachelorsSkills: ["Analytical","Troubleshooting","Communication","Collaboration","Ownership"]

Develop and execute validation methodologies and comprehensive test plans for NVIDIA AI cluster networking solutions. Build automation tools for test execution, environment setup, log collection, and data analysis, then run functional, regression, performance, and reliability testing. Lead end-to-end investigations by reproducing issues, analyzing logs/telemetry/packet captures, and partnering with software and hardware teams to validate fixes across the networking and AI stack. Read and reason about C/C++/Python code to improve debugging and instrumentation.

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FursaFursa
NVIDIA
NVIDIA
16 hours ago

Senior Network Software Validation Engineer – AI Clusters

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Develop and execute validation methodologies and comprehensive test plans for NVIDIA AI cluster networking solutions. Build automation tools for test execution, environment setup, log collection, and data analysis, then run functional, regression, performance, and reliability testing. Lead end-to-end investigations by reproducing issues, analyzing logs/telemetry/packet captures, and partnering with software and hardware teams to validate fixes across the networking and AI stack. Read and reason about C/C++/Python code to improve debugging and instrumentation.
Location: Zurich, Switzerland
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design validation methodologies, review product requirements, and develop test plans for networking technologies in large-scale AI cluster solutions.
  • •Develop and maintain automation tools/scripts for test execution, environment setup, log collection, and data analysis.
  • •Execute functional, regression, performance, scale, and reliability testing across networking and AI cluster solutions.
  • •Investigate complex customer issues end-to-end by reproducing scenarios and using logs, telemetry, packet captures, and system metrics to drive root-cause resolution.
  • •Read and understand source code to investigate defects, validate fixes, and improve logging, instrumentation, and debugging capabilities.

Key Requirements

  • •B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
  • •8+ years of hands-on experience in networking, system validation, software testing, or system-level debugging on Linux.
  • •Strong Linux systems knowledge and networking debugging experience at scale.
  • •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.
Experience:8+ years
Education:Bachelor's
Skills:AnalyticalTroubleshootingCommunicationCollaborationOwnership
Tech Stack:CC++PythonLinuxBashAnsibleNCCLRoCERDMADCQCNECNPFC

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
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Glassdoor: 4.3
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