EDA System Software Engineer

divh2NVIDIA Software Engineer / h2pNVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing. NVIDIA is a learning machine that constantly evolves by adapting to new opportunities that are hard to solve, that only we can tackle, and that matter to the world. This is our lifes work to amplify human imagination and intelligence. Make the choice to join us today! / ppAs a software engineer you will craft and implement APIs and services to support the execution of workflows to validate the design of NVIDIAs chips. The systems we develop will operate at a large scale, running millions of tests per day in a distributed cloud computing environment with thousands of heterogeneous servers to verify multiple designs in many configurations. You will continuously innovate and develop scalable, reliable, high-performance systems, and tools to enable the next generation of chips. / ppstrongWhat youll be doing : / strong / pulliBuild microservices that are reliable, scalable, and maintainable. / liliImprove the current systems ability to schedule and utilize resources, improve performance, increase reliability, and provide better throughput. / liliDesign interfaces that are efficient and easy to use for hundreds of engineers throughout the world. / liliJoin an agile and dynamic software development team with very high production quality standards. / liliParticipate in the full life-cycle of tool development, test, and deployment. / liliWork closely with other team members and internal customers to understand their processes, requirements, and needs. / liliDirectly contribute to the overall quality of and improve time to market for NVIDIAs next-generation chips. / li / ulpstrongWhat we need to see : / strong / pulliExcellent software engineering skills, including applied knowledge of OOP, design patterns, distributed systems, multiprogramming, and microservices. / liliSkilled in Python and common service and / or multiprogramming-related packages. / liliBS in Computer Science (or equivalent experience); MS (preferred) and 2+ years of experience. / liliExcellent planning, presentation, and general communication skills. / liliThe flexibility and adaptability to work in an exciting environment with changing requirements. / liliA passion for improving the productivity and efficiency of other engineers. / li / ulpstrongWays to stand out from the crowd : / strong / pulliExperience developing and deploying automated testing infrastructure. / liliDeep understanding of distributed and microservice architecture principles such as service deployments in various contexts including HPC clusters. / liliExperience with Linux ecosystems, including development and debugging tools. / liliFamiliarity with chip design and / or other verification workflows or expertise in Perl, C / C++, JavaScript, or TypeScript. / liliSolid understanding of and experience with AI coding accelerators like Cursor or CoPilot. / li / ulpYour base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. / ppYou will also be eligible for equity and benefits. / ppApplications for this job will be accepted at least until January 4, 2026. 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. / p / div