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From the employer's careers site First seen 11 Aug 2026 · Still live on 12 Nov 2026

Senior Software Development Engineer in Test - Datacenter Server OS

NVIDIA Santa Clara, CA senior full-time

The employer hasn't listed a salary.

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Description

We are seeking a Senior Software Development Engineer in Test to join our platform SWQA team. As a Senior Software Development Engineer in Test - Datacenter Server OS, you will be responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plans on servers, OS, FW, and CUDA SW stack.

Responsibilities:

  • Develop and execute test plans for NVIDIA HGX/DGX/MGX platforms on servers, OS, FW, and CUDA SW stack
  • Install and test various systems OS, server firmware, and SW stack
  • Drive support for root cause analysis on reliability and validation test failures
  • Build, develop, and debug server and OS level automation front-end and back-end framework and tests
  • Review partner and supplier test results and prescribe additional reliability testing as needed
  • Work in an agile software development team with high production quality standards
  • Manage bug lifecycle and collaborate with inter-groups to drive solutions

Requirements:

  • Bachelor's Degree in a STEM field
  • 5+ years of proven experience; or master's degree
  • Proven experience with OS and server level automation, CI/CD process, and DevOps using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript
  • Strong server and Linux troubleshooting and debugging experience
  • Good knowledge and hands-on experience with model testing, AI tools/frameworks, NLP, and LLM benchmarking
  • Experience with AI development tools for test plans creation, test cases development, and test cases automation

Preferred Qualifications:

  • Experience with NVIDIA GPU hardware
  • Solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes)
  • Background in parallel programming, ideally CUDA/OpenCL

Benefits:

  • Equity
  • Other benefits

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Skills

Required

Nice to have

  • NVIDIA GPU hardware
  • Virtualization in Linux
  • Parallel programming
  • CUDA/OpenCL
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