<div>Hardware Infrastructure is seeking a Senior Technical Program Manager to own the strategy and execution of programs to support the bringup, operations and automation of GPU infrastructure. The GPU infrastructure we build and operate enables NVIDIAs most sophisticated AI and hardware researchers and engineers to invent the future of computing. This is a fast paced and evolving landscape that requires a senior TPM leader to guide engineering roadmaps to be delivered with high quality outcomes and a strong foundation of operational perfection. They will partner both internally within Hardware Infrastructure and externally with senior management and partner teams to scale the clusters operations charter. They will develop and standardize planning, reporting and execution methodologies and metrics to enable meeting the challenging objectives. What Youll Be Doing:<ul><li>Engage with cross-company partners to compose the technical strategy, build programs and coordinate execution to meet key business objectives that support scaling bringups to be seamless, fast and efficient</li><li>Nurture a culture of continuous improvement, finding new opportunities across tooling, automation and processes to scale cluster operations and management</li><li>Guide a diverse set of engineering efforts in an agile program methodology across planning, prioritization, design, dependency management, implementation and execution.</li><li>Bring data first approach to programs (metrics, OKRs, KPIs) to effectively measure program success and for identifying areas of improvement</li><li>Create effective communication channels to provide varying audience levels insights into program status, risks and opportunities.</li><li>Act as an effective technical and non-technical liaison between developers, customers and partners to drive organization alignment across a multi-functional matrixed set of leads</li></ul> What We Need To See:<ul><li>B.S. (or equivalent experience) in Computer Science or a related technical difficulty</li><li>10+ years of experience across software engineering and/or technical program management roles with demonstrated expertise and mastery of technical and management practices</li><li>Showed skill in infrastructure software, production application software development and large scale distributed computing</li><li>Experience leading large scale HPC and/or AI Infrastructure deployments that stretch across hardware and software</li><li>Outstanding communication and presentation abilities suited for a wide range of technical and non-technical viewers</li><li>Strong multitasking abilities with a focus on thoroughness and rapid context switching</li><li>Knowledge of agile methodologies and the best in class project management tools</li><li>Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management within a fast-paced environment</li></ul> Ways To Stand Out From The Crowd:<ul><li>Prior experience bringing up new datacenter capacity across cloud service providers and on-premise locations</li><li>Prior experience migrating platforms and solutions from on prem to cloud</li><li>Background in working with AI researchers and/or EDA developers</li><li>Software development, release and support methodology and devops</li></ul></div>Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until October 11, 2025.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.#deeplearning