NVIDIA's Enterprise Compute SWQA team is looking for a Senior Software Development Engineer in Test to join their New GPU Integration (NPI) team to develop and validate new features, automate testing, and improve the quality and reliability of NVIDIA's GPU products.
Requirements
- Solid understanding of embedded systems, Linux, Python, C and C++.
- Very good knowledge of Linux and Windows packages.
- Experience with Hypervisors is a big plus
- Proven experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage.
- Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined.
- 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
- Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features.
- Apply AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance
Other
- 7+ years testing SW development cycle.
- Solid understanding in QA methodology and pay attention to details.
- Work in a dynamic agile software development team with very high production quality standards.
- Creative and autonomous
- BS or MS in Engineering (or equivalent experience)
