System Software Engineer (RDSS Intern)

By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make alasting impact on the world. We are looking for a highly motivated RDSS intern to join our System Software team focused on diagnostics and validation for next-generation NVIDIA GPU products. In this role, you will help develop software-based validation and debug solutions used on GPU boards, servers, and racks, and support their integration into manufacturing and datacenter workflows. The work sits at the intersection of system software, hardware validation, automation, and triage, with strong collaboration across hardware, firmware, operations, and manufacturing teams. What you’ll be doing Develop and enhance system software diagnostics that validate GPU platforms across areas such as power, thermal, memory, PCIe, NVLink, and system-level behavior. Build stress tests, validation utilities, and automation that provide clear pass/fail criteria, structured logs, telemetry, and error codes to improve failure attribution. Collaborate with hardware and firmware teams on L6, L10, and L11 tests, and help integrate diagnostic coverage into manufacturing and validation flows with practical test scope, runtime, sequencing, and debug visibility. Investigate failures across hardware, firmware, and software boundaries; analyze logs and platform behavior to identify root causes and improve test coverage or debug signals. Contribute to tools, documentation, and workflows that make bring-up, regression, and production validation more efficient for internal teams and external partners. What we need to see Pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field. Project, research, or coursework experience in system software, platform validation, diagnostics, embedded software, or low-level Linux development. Strong programming skills in C, C++, or Python, with solid fundamentals in algorithms and data structures. Familiarity with Linux-based development, scripting, debugging, and log analysis for hardware-adjacent software. Understanding of computer architecture and operating system fundamentals, with interest in how hardware, firmware, and software interact in complex systems. Ways to stand out from the crowd Hands-on experience with validation tools, factory-style test flows, lab automation, or datacenter system bring-up. Experience building structured logging, telemetry, reporting, or automated triage utilities. Exposure to server architecture, PCIe, accelerator systems, or high-speed interconnects. Experience using AI-assisted tools for log analysis, test generation, debugging, or developer productivity. Self-motivated and curious, with strong ownership and a willingness to work across teams to solve ambiguous system-level problems. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you!