Senior Technical Program Manager, OEM Enablement
NVIDIA
Opportunity published from Workday · applications stay with the original hiring source.
About the opportunity
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.
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.
Key responsibilities
- 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 including 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, coordinating targeted training and knowledge transfer.
- Engage OEM and NVIDIA leadership to frame opportunities, communicate technical and business implications, and influence decisions while establishing clear ownership, milestones, standardized templates, trackers, dashboards, and reviews.
- Use field operations data, customer and partner feedback, and engineering findings to improve partner workflows, deployment execution, and operating processes into repeatable improvements.
Qualifications
- 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.
- Understanding of 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.
- Ability to 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 to engage OEM engineering, supply chain, and support teams and communicate program direction 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%.
Nice to have
- 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.
Benefits
- Expected base salary range of 200,000 USD – 322,000 USD, determined by location, experience, and other objective job-related factors.
- Eligibility for equity and benefits.
Job details
- Applications for this job will be accepted at least until November 16, 2026.
- This posting is for an existing vacancy.
About the company
At NVIDIA, we are 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.
Academic and commercial groups worldwide use our products to advance deep learning, data analytics, and accelerated computing.
Additional information
- NVIDIA uses AI tools in its recruiting processes.
Application: UpVagas lists this opportunity from the hiring company or its recruitment platform. The application is completed at the original source.
