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Senior Software Development Engineer in Test, Confidential Computing - SDET

NVIDIA· Engineer, SW QA Test Dev
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Santa Clara, CA$168k - $270.3kFull-timePosted 3mo ago

About the role

Senior SDET for NVIDIA’s Confidential Computing team within Enterprise SWQA, focusing on feature development, automation, test infrastructure, and scalable validation across silicon, GPUs, and cloud environments.

Responsibilities

  • Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, NVIDIA turnkey systems and OEM systems.
  • Develop a robust test infrastructure incorporating advanced AI tools to significantly enhance testing capabilities and streamline operations for more efficient and accurate results.
  • Improve code coverage, elevate overall quality of codebase and reliability of testing processes, and develop roadmaps prioritizing software development schedule for full life-cycle of tool development, test, and deployment
  • Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of those features in timely manner
  • Build and operate key pieces of a complete infrastructure for automation framework development, lead automation support and participate in automation of manual test cases
  • Focus on an efficient customer experience by improving usability and ease to attain optimal performance
  • Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features
  • Work in a dynamic agile software development team with very high production quality standards.

Qualifications

  • BS or MS in Engineering (or equivalent experience) with 8+ years testing SW development cycle.
  • Solid understanding of embedded systems, Linux, Python, C and C++.
  • Experience with Hypervisors; focus on cloud infrastructure, platform security, or highly regulated deployment environments is a plus.
  • Proven experience with AI tools for automation and test plan development applied to daily tasks.
  • Strong technical skills with deep understanding of orchestration & automation systems, data centers and cloud architecture.
  • Solid understanding in QA methodology and attention to detail.
  • Knowledge in Cluster and cluster management.
  • Experience in developing test strategies, high quality test plans and test execution.
  • Proficient in building test setups and fine tuning in HW and SW.

Skills

Required:Test planningAutomation framework developmentPythonC/C++Linux
Nice to have:HypervisorsCUDA / GPU computing

Benefits

  • Equity
  • Benefits (see NVIDIA benefits)
Last updated Sep 11, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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