Senior System Software Engineer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPUs act 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. The DRIVE OS Team is searching for a hands-on Systems and Software Platform Engineer to develop innovative solutions for the world of transportation and the growing field of self-driving cars. This role works across software, hardware, safety, and product teams to develop, integrate, and improve capabilities within NVIDIA’s autonomous driving DRIVE OS software platform. What you’ll be doing: Collaborate with software, hardware, safety, and product management teams to translate product requirements into system requirements, software architectures, and technical designs Design and develop solutions for vehicle interface abstraction, vehicle network topology and infrastructure, data flow, time synchronization, and other system-level capabilities Develop, document, implement, and optimize software architectures and frameworks for real-world performance while meeting product and customer requirements Design, develop, deploy, and improve AI agents and AI-assisted workflows that automate engineering tasks such as software development, system analysis, testing, debugging, documentation, data analysis, and developer productivity Identify opportunities to apply generative AI and agentic workflows to improve engineering efficiency, software quality, and development processes Debug complex system-level issues spanning software, operating systems, networking, middleware, and hardware interfaces Collaborate across engineering teams to integrate, test, and deliver robust software capabilities on the DRIVE OS platform What we need to see: BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or a related engineering field, or equivalent experience 5+ years of relevant software or systems engineering experience Strong C and C++ programming skills, with experience designing, developing, integrating, and debugging complex software systems Experience with Linux, QNX, Android, or other embedded or real-time operating systems, including software that spans hardware, operating system, middleware, and application layers Experience developing or integrating AI-powered tools, AI agents, or automation into software engineering workflows Familiarity with modern AI development tools, APIs, scripting languages, and frameworks used to build and deploy agent-based automation Ability to work independently and collaborate effectively with multi-functional engineering teams in a dynamic development environment Strong written and verbal communication skills with the ability to clearly communicate technical concepts and engineering decisions Ways to stand out from the crowd: Knowledge of automotive systems, including ADAS, autonomous driving, vehicle electrical architectures, and automotive communication networks Experience with embedded systems, software/hardware integration, and software development on the QNX operating system Experience applying generative AI, large language models, or agentic AI systems to software engineering, system debugging, testing, or developer productivity Experience building AI agents that interact with engineering tools, source repositories, CI/CD systems, test infrastructure, or technical documentation Experience with Python or other scripting languages for engineering automation and AI development NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify