Nvidia Senior Software Development Engineer Test 

United States, California 

682849449

In this role on the automation team, you will automate test-bench and independently test specifications and execution workflows for worldwide chip validation teams. You'll be running tests on silicon along with developing the automationframework/infrastructure

What you’ll be doing:

• Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms that includes Tesla GPUs, NVIDIA turnkey systems and OEM systems

• Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.

• 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 (MS preferred) or equivalent experience.

• 7+ years testing SW development cycle.

• Strong knowledge of embedded systems, Linux, Python, C ,C++

• Industry experience with AI tools for automation and test plan development directly applied to daily tasks. This expertise is essential 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.

• Excellent communication and planning skills.

• Deep knowledge in QA methodology and approach centered on 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

Ways to stand out from the crowd:

• Experience testing and validating large scale distributed systems with different components, leading projects and dealing across functional teams

• Background with various cloud technologies (Cloud Stack/OpenStack/Mesos/Hadoop/Kafka),as well as, virtualization infrastructure software (Xen, KVM)

• Experience with Containers (Docker)

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

• Experience with machine learning, artificial intelligence, computer vision (plus)