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. Join NVIDIA and be a part of our outstanding journey as a Director of Product Management - AI Infrastructure! This is a ground-breaking opportunity to lead the development of innovative AI infrastructure that powers a wide range of applications, from autonomous vehicles to advanced robotics. What you'll be doing: Lead a team of product managers to successfully implement NVIDIA's AI infrastructure initiatives. Collaborate closely with engineering, research, and marketing teams to develop and deliver large-scale platform products and infrastructure. Determine market needs and define product roadmaps to lead in the AI/ML and HPC environments. Coordinate the execution of product development, focusing on AI/ML infrastructure, including model training, serving, orchestration, containerization, and GPU-based computing. Collaborate with senior leadership and partners to align on product vision and strategy. Employ your extensive expertise in distributed systems, resource schedulers, model parallelism, and performance optimization to inform technical decisions. Ensure products meet the highest standards of quality and performance, continuously improving them based on customer feedback and market trends. What we need to see: 15+ overall years in product management or infrastructure-focused technical leadership roles, with 5+ years managing and mentoring product teams. Demonstrated history of successfully delivering large-scale platform products or infrastructure in cloud, AI/ML, or HPC environments. Strong technical background with experience in AI frameworks (e.g., PyTorch, TensorFlow, JAX) and ML toolchains. Familiarity with cloud-native infrastructure (Kubernetes, Docker, Helm, etc.) and hybrid cloud environments. Excellent communication and leadership skills, with the ability to influence across engineering, marketing, and executive leadership. Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). Ways to stand out from the crowd: Experience developing AI applications. Ph.D. or equivalent experience in Computer Science or a related technology area. Proficiency in GPU-centric computing and improving efficiency. Experience working with in-house legal counsel to develop and customize software license agreements. 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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