Nvidia Senior Software Development Engineer Test 

United States, California 

252295488

What you’ll be doing:

• 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.

• Work in a dynamic agile software development team with very high production quality standards.

What we need to see:

• BS or MS in Engineering (or equivalent experience) with 5+ years testing SW development cycle.

• 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. 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.

• 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

• Proficient in building test setups and fine tuning in HW and SW along withhardware and software components that enable cloud computing services.

Ways to stand out from the crowd:

• Expertise in packaging software in Linux (rpms, debs) and knowledge in Linux distribution (Centos, Ubuntu, SLES, RedHat, Fedora)

• 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

• Experience with Configuration and deployment management (Ansible), Containers (Docker) and Virtualization infrastructure software (Xen, KVM)

• Good understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson).

• Background with parallel programming, ideally CUDA C/C++ and OpenACC