$130K - 180K a year
Lead strategy and execution of GPU infrastructure programs supporting AI and hardware research, fostering continuous improvement, and coordinating cross-functional teams to meet business objectives.
10+ years in software engineering or technical program management with expertise in infrastructure software, HPC/AI infrastructure deployments, agile methodologies, datacenter capacity expansion, cloud migration, and strong communication skills.
Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking a Senior Technical Program Manager to lead the strategy and execution of programs supporting the GPU infrastructure that empowers AI and hardware researchers. This role involves collaborating with various teams to enhance operations and develop methodologies for program success, all while fostering a culture of continuous improvement. Responsibilities • 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 • Nurture a culture of continuous improvement, finding new opportunities across tooling, automation and processes to scale cluster operations and management • Guide a diverse set of engineering efforts in an agile program methodology across planning, prioritization, design, dependency management, implementation and execution. • Bring data first approach to programs (metrics, OKRs, KPIs) to effectively measure program success and for identifying areas of improvement • Create effective communication channels to provide varying audience levels insights into program status, risks and opportunities. • 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 Skills • 10+ years of experience across software engineering and/or technical program management roles with demonstrated expertise and mastery of technical and management practices • Showed skill in infrastructure software, production application software development and large scale distributed computing • Experience leading large scale HPC and/or AI Infrastructure deployments that stretch across hardware and software • Outstanding communication and presentation abilities suited for a wide range of technical and non-technical viewers • Strong multitasking abilities with a focus on thoroughness and rapid context switching • Knowledge of agile methodologies and the best in class project management tools • Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management within a fast-paced environment • Prior experience bringing up new datacenter capacity across cloud service providers and on-premise locations • Prior experience migrating platforms and solutions from on prem to cloud • Background in working with AI researchers and/or EDA developers • Software development, release and support methodology and devops Education Requirements • B.S. (or equivalent experience) in Computer Science or a related technical difficulty Benefits • Equity • Benefits Company Overview • NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. It was founded in 1993, and is headquartered in Santa Clara, California, USA, with a workforce of 10001+ employees. Its website is https://www.nvidia.com. Company H1B Sponsorship • NVIDIA has a track record of offering H1B sponsorships, with 1418 in 2025, 1356 in 2024, 976 in 2023, 835 in 2022, 601 in 2021, 529 in 2020. Please note that this does not guarantee sponsorship for this specific role.
This job posting was last updated on 10/11/2025