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 and be on a lookout for new methods to improve process efficiency and effectivenessHandle DriveOS compliance with NVIDIA internal and industry standardsEstablish and track DriveOS product and process quality roadmapSet quality goals for DriveOS releases, manage execution, establish release readiness checks and gatesDrive alignment in a highly matrixed organization across product and program management, DriveOS architecture, engineering, internal and external customers, NVIDIA process and quality organizations What we need to see:Bachelors or a higher degree (or equivalent experience) in Computer Science or a related field15+ overall years of proven experience in a similar or related role, and relevant experience in automotive software development field7+ years of consistent record of building engineering teams and raising strong leadersStrong leadership and interpersonal skills, with the ability to drive alignment across large organizationsIn-depth understanding of the Software Development Lifecycle and V-modelPractical knowledge of industry standards including ASPICE, ISO 25010, ISO 26262, ISO 21434 Ways to stand out from the crowd:Experience with Generative AI tools (LLMs) to facilitate software developmentBackground with data analysis tools/languagesSuccessful implementation of a quality system in an automotive product organizationExperience in autonomous vehicle software fieldExperience working in a multi-cultural, global environmentThe base salary range is 308,000 USD - 471,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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