Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking a Senior Technical Program Manager for its Solutions Architecture team to help OEM partners and customers build, deploy, and support AI Factories. The role leads cross-functional programs to close technical and ecosystem gaps, improve customer outcomes, and strengthen OEM readiness across the hardware lifecycle.
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. 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
Skills
- 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
- 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
- Eligible for equity
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