Senior Software Engineer – Distributed Test Platform

Overview

• NVIDIA 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 life's work to amplify human imagination and intelligence.
• Make the choice to join us today! As a software engineer you will craft and implement APIs and services to support the execution of workflows to validate the design of NVIDIA's 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.
• What you'll be doing: Build microservices that are reliable, scalable, maintainable, and accessible to AI agents.
• Improve current systems to enhance resource scheduling, optimize performance, increase reliability, and deliver higher throughput.
• Develop streamlined, reliable interfaces optimized for usability and scalability across thousands of engineering users.
• Join an agile and proactive software development team with very high production quality standards.
• Participate in the full life-cycle of tool development, test, and deployment.
• Partner with internal customers to analyze workflows and system environments, delivering solutions optimized for their specific requirements.
• Play a key role in enhancing product quality and development efficiency of NVIDIA’s next-generation chips.
• What we need to see: Excellent software engineering skills, including applied knowledge of OOP, design patterns, distributed systems, multiprogramming, and microservices.
• Skilled in Python and common service (FastAPI) and/or multiprogramming-related (asyncio) packages.
• MS (preferred), BS, or equivalent experience in Computer Science/Engineering.
• 4+ years of experience.
• Excellent planning, presentation, and general communication skills.
• The flexibility and adaptability to work in an exciting environment with changing requirements.
• Experience with distributed container orchestration systems like Kubernetes.
• Ways to stand out from the crowd: Experience developing and deploying automated distributed testing infrastructure.
• Familiarity with EDA or related chip design and verification workflows.
• A passion for improving the productivity and efficiency of other engineers.
• Experience with noSQL database technologies like Redis and MongoDB.
• Expertise in JavaScript, TypeScript, Perl, or C/C++.