Director, Drive OS Process and Quality @ NVIDIA

Remote Full-time
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. DriveOS is the software platform that powers millions of autonomous vehicles and other intelligent machines around the world! It combines a virtualization platform, system software, and acceleration libraries for AI, computer vision pipelines, graphics, and multimedia processing. The system is certified for both automotive safety (ISO 26262 ASIL-D) and cybersecurity (ISO 21434, UN Reg 155), and is being adapted to other regulated markets including robotics, avionics, and medical devices. NVIDIA is seeking an engineering leader to continuously raise the standard for DriveOS product excellence and ensure the highest standards of quality, dependability and user experience. At NVIDIA, we foster a diverse, encouraging environment where everyone is inspired to do their best work. The work is challenging, exciting, and will help a future of self-driving vehicles to become reality. Join the team and see how you can make a lasting impact on the world! Our globally-distributed team works at a fast pace, but we prioritize quality and long-term maintainability above all else. You will lead a software organization of experts and professionals in all aspects of automotive software quality, process engineering and automation. You will be responsible for definition, assurance and continuous improvement of the DriveOS software process and product quality rapidly embracing many generative AI and LLMs to improve effectiveness and efficiency of the development workflows. What You’ll Be Doing:Lead an organization of quality, safety, cybersecurity managers and process automation engineersEstablish DriveOS process model and implementation to harmonize quality, functional safety and cybersecurity domainsDefine measurable and objective DriveOS quality characteristics and metricsIdentify and drive process implementation and automation initiativesLeverage GenAI, formal verification…

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