Senior System Software Engineer

NVIDIA•Us, CA

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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-time 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