At NVIDIA, we're at the forefront of innovation, redefining the future of computing with our powerful GPU technology. Our GPUs serve as the brains behind computers, robots, and self-driving cars, enabling them to understand and interact with their surroundings. NVIDIA is seeking a Senior Technical Program Manager on the Solutions Architecture team to help our OEM ecosystem and customers build, deploy, and support successful AI Factories. Academic and commercial groups worldwide use NVIDIA products to advance deep learning, data analytics, and accelerated computing. Join the team building many of the world's largest and fastest data centers and supercomputers!

You will work across OEM partners and NVIDIA teams to identify technical and ecosystem gaps and turn them into programs that improve customer outcomes. This role requires technical depth, adaptability, and an understanding of the end-to-end lifecycle of hardware systems in an AI Factory, from development and integration through deployment, operations, and support. You will work closely with engineering to solve problems while building relationships and influencing decisions across partner organizations and leadership teams. As products, customer needs, and the ecosystem evolve, you will help define where technical program leadership can have the greatest impact.

What you will be doing:

• Lead technical programs across AI Factory development, deployment, and support, working with engineering and OEM partners to close readiness gaps and resolve dependencies as customer needs evolve.
• Work across NVIDIA Solutions Architects (SAs), Field Application Engineers (FAEs), sales and account management, and engineering functions to align technical requirements, partner capabilities, and customer expectations.
• Assess how OEM services and support capabilities meet CSP and NCP customer needs, and develop programs to close gaps. Areas may include technical training, engineering support, NVIDIA product knowledge and debugging, return material authorization (RMA), spares, and service readiness.
• Engage OEM engineering, supply chain, and support teams to understand challenges, shape joint plans, and resolve technical issues with NVIDIA experts. Coordinate targeted training and knowledge transfer with SAs, FAEs, and engineering to strengthen OEM capabilities.
• Engage OEM and NVIDIA leadership to frame opportunities, communicate technical and business implications, and influence decisions. Establish clear ownership and milestones; standardize templates, trackers, dashboards, and reviews for partner programs, deployment services, and leadership updates.
• Use field operations data, customer and partner feedback, and engineering findings to improve partner workflows, deployment execution, and operating processes. Turn lessons learned into repeatable improvements in products, tooling, OEM training, and lifecycle support.

What we need to see:

• Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related technical field, or equivalent experience.
• 12+ years of overall experience in enterprise and/or hyperscale data centers, hardware systems, or related infrastructure, with experience leading cross-functional technical programs.
• Understand the hardware systems lifecycle—from development and validation through deployment and support—in large-scale AI infrastructure.
• Technical depth to work closely with engineering on NVIDIA or similar AI systems, understand product architecture and system dependencies, and drive debugging and issue resolution with technical experts.
• Bring structure to ambiguous problems, establish ownership and measurable outcomes, and adapt priorities as technologies and customer needs evolve.
• Strong communication and relationship-building skills, with the ability to engage OEM engineering, supply chain, and support teams in detailed discussions and communicate program direction, tradeoffs, and decisions at the leadership level.
• Demonstrated ability to influence outcomes and drive accountability without direct authority across engineering, customer-facing teams, and external partner organizations.
• Willingness to travel (up to 25%).

Ways to stand out from the crowd:

• Experience working directly with OEM/ODM partners and CSP or NCP customers on AI/HPC systems, infrastructure deployment, or lifecycle support.
• Knowledge of NVIDIA products and AI Factory infrastructure, including accelerated computing, networking, and system-level debugging.
• Experience building ecosystem capabilities or closing gaps across engineering enablement, service delivery, RMA, spares, or support, with demonstrated improvements to customer outcomes.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.Applications for this job will be accepted at least until October 31, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.