NVIDIA is looking to solve the problem of automating testbench independent test specification and execution workflows for worldwide chip validation teams running tests on silicon, and developing scalable, reliable, high performance systems and tools to enable the next generation of chips.
Requirements
- Solid understanding of embedded systems, Linux, Python, C and C++.
- Experience with cloud infrastructure is a big plus
- Proven experience with AI tools for automation and test plan development directly applied to daily tasks.
- Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined.
- Solid understanding in QA methodology and pay attention to details.
- Knowledge in Cluster and cluster management
- Experience in developing test strategies, high quality test plans and test execution
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 our testing capabilities and streamlining operations for more efficient and accurate results.
- Improve code coverage, elevating the overall quality of our codebase and reliability of our 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, as well as, lead and develop automation support and participate in automation of manual test cases, working closely with automation infrastructure
- Focus on an efficient customer experience by improving both usability and ease to attain optimal performance
- Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features.
Other
- BS or MS in Engineering (or equivalent experience) with 5+ years testing SW development cycle.
- Work in a dynamic agile software development team with very high production quality standards.
- Applications for this job will be accepted at least until September 15, 2025.
- NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.
- Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
