
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.

Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Company: NVIDIA
Core focus: Accelerated computing and AI infrastructure (GPUs, data center and AI systems, edge/robotics, automotive)
Founded: April 1993
Public company / Investor relations: Maintains an active investor relations portal with quarterly results and presentations
High-performance graphics, machine learning/AI acceleration, and full-stack AI infrastructure for enterprise, cloud and edge use cases.
1993
Semiconductors / AI infrastructure
Historical financing and IPO-related information are documented on financial profiles; NVIDIA also deploys strategic investments in startups (examples reported)
$2B
Reported $2B investment to support CoreWeave's AI compute expansion
We are looking for Senior Software Development Engineer in Test to join our Compute CUDA Quality Assurance team for NVIDIA's Enterprise SWQA release schedules. Are you passionate about automation development, test and validation infrastructure? Do you excel using AI tools to aid in solving complex issues? We'd love to have your skills on the team! 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 automation framework/infrastructure and system operating at large scale, running hundreds of tests per day in distributed heterogeneous servers with NVIDIA's GPUs. This engineer will verify multiple designs/POR in many configurations residing in automation farms or in the cloud. You will continuously innovate and develop scalable, reliable, high-performance systems and tools to enable the next generation of chips! 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/Open Stack/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) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you! The base salary range is 168,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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