NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s 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 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, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Join NVIDIA, an established leader in computer graphics, PC gaming, and accelerated computing for over 25 years. We are embarking on a new era fueled by AI. We are in search of a remarkable Automotive Performance Senior Software Engineer to join our energetic team. You will participate in groundbreaking projects that drive technology and innovation forward. Our team values cooperation, and your work will impact leading performance solutions in the automotive industry. What you'll be doing: Play a key role in optimizing system software for NVIDIA automotive performance platforms with Safe RTOS. Collaborate closely with Hardware Architecture, DriveOS, Power, and Test teams to track key boot & runtime performance benchmarks. Ensure the software and hardware meet projected targets by closely supervising micro benchmarks and industry-standard benchmarks across IPs. Contribute to developing innovative features in automotive profiling tools with AI assistance. Benchmark the hypervisor and ensure the lowest overhead on ARM systems. Collaborate with the ADAS/AV team in optimizing the next-gen stack from NVIDIA on Tegra platforms. What we need to see: Master’s degree in computer science, Engineering, or a related field, or equivalent experience. A minimum of 10 years of proven experience in systems or software performance. Solid C/C++ programming abilities accompanied by previous experience in the automotive sector. Proficiency in Linux and QNX; Knowledge of Android is advantageous but not mandatory. Solid understanding of Benchmarking, boot time optimization, compiler optimizations and runtime performance improvements. Knowledge of hypervisors, virtualization, and overhead analysis. Experience working with profiling utilities to improve system software efficiency. AI/ML experience is highly desirable.