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NVIDIA

Technical Program Manager, OEM Enablement

NVIDIA

. 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 .

Posted 10/27/2026full-timeRemote • California • United StatesSeniorLead💰 $136,000 - $218,500 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical programs across AI infrastructure, with a strong focus on hardware systems lifecycle management, cross-functional collaboration, and effective communication with OEM partners. Proven ability to influence outcomes and drive accountability while adapting to evolving customer needs and technologies.

Highest-signal resume keywords
Technical Program LeadershipAI Infrastructure ExpertiseCross-Functional CollaborationOEM Partner EngagementCommunication and Relationship-Building

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Hardware Systems Lifecycle ManagementAI Systems DebuggingTechnical Issue ResolutionProgram DevelopmentData Center InfrastructureNVIDIA Product KnowledgeEcosystem Capability BuildingService Delivery ImprovementLifecycle SupportCross-Functional Program Management
Soft Skills
Strong Communication SkillsRelationship BuildingInfluencing OutcomesAdaptabilityProblem-Solving
Tools & Technologies
Field Operations DataDashboardsTemplatesTrackersKnowledge Transfer Programs
Industry Keywords
CSPNCPOEMODMAI FactoryHPC SystemsInfrastructure DeploymentCustomer OutcomesEngineering EnablementSupply Chain Management

About the role

Key responsibilities & impact
  • 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, Field Application Engineers, 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
  • Coordinate targeted training and knowledge transfer with Solutions Architects, Field Application Engineers, and engineering to strengthen OEM capabilities
  • Engage OEM engineering, supply chain, and support teams to understand challenges, shape joint plans, and resolve technical issues with NVIDIA experts
  • 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

Requirements

What you’ll need
  • Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related technical field, or equivalent experience
  • 10+ 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, 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

Comp & perks
  • Equity
  • Benefits
  • Willingness to travel up to 25%