Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a Solutions Architect Manager to lead the AI Factory Build Enablement function. This team closes critical gaps between OEM factory execution and services handover by defining readiness standards, verifying OEM capabilities, identifying risks early, and building mitigation plans before downstream services issues consume constrained resources. In this role, you will build and lead a small team of Solutions Architects focused on OEM readiness for AI Factory build-outs. You will plan, prioritize, and advise technical teams across readiness, NPI, integration, and services handover activities. You will work across NVIDIA architecture, services, engineering, program, account, field, and partner-facing teams to create repeatable readiness practices that replace today's per-engagement fixes with standardized operating models. What You'll Be Doing: • Lead the AI Factory Build Enablement pillar, including OEM readiness criteria, partner capability verification, and pre-engagement gatekeeping before services handover. • Build and manage a team of Solutions Architects who assess OEM tools, experience, deployment readiness, and mitigation needs for AI Factory build-outs. • Plan, prioritize, and advise technical teams supporting readiness, NPI, integration, and end-to-end AI infrastructure build preparation. • Own the development and adoption of standardized OEM readiness checklists, capability assessments, risk scoring, and engagement health monitoring. • Establish clear criteria for OEM-to-services handover and drive formal sign-off processes that reduce downstream deployment, test, and bring-up issues. • Orchestrate cross-functional workstreams that align architecture, engineering, services, field, program, account, and partner-facing teams around readiness milestones and execution risks. • Partner with NVIDIA services, engineering, FAE, program, account, and tool-development teams to identify recurring readiness gaps and drive them into structured corrective actions. • Create leadership visibility into readiness risk, open mitigation plans, engagement health, and critical blockers affecting AI Factory build execution. What We Need To See : • BS, MS, or equivalent experience in Computer Science, Electrical or Computer Engineering, Systems Engineering, Physics, Mathematics, or a related technical field. • 8+ overall years of experience in infrastructure architecture, data center deployment, AI/HPC systems, partner enablement, technical field engagement, or large-scale systems integration. • 4+ years of experience leading a team. • Prior people leadership experience, including hiring, coaching, developing, and directing technical ICs. • Strong understanding of data center infrastructure, including compute, networking, storage, cabling, power, cooling, firmware/BMC, Linux, and deployment workflows. • Experience translating complex technical requirements into readiness criteria, partner checklists, acceptance gates, or operating processes. • Ability to assess partner capability, identify execution gaps, and drive mitigation plans before issues reach deployment or handover. • Strong cross-functional leadership across architecture, engineering, program, field, account, and partner-facing organizations. • Demonstrated ability to coordinate multiple concurrent technical workstreams, set goals, track progress, and drive timely execution across complex partner engagements. • Executive-ready communication skills, including the ability to summarize risk, readiness, tradeoffs, and decision asks for senior leaders. Ways To Stand Out From The Crowd: • Experience with AI Factory, accelerated computing, rack-scale AI infrastructure, large-scale GPU systems, or HPC deployments. • Experience working with OEM, ODM, system integrator, or deployment partner ecosystems. • Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms. • Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams. • Background with recruiting, mentoring, and developing technical talent in field-facing, partner-facing, or infrastructure architecture organizations. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 25, 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.

Requirements

Must-haves

Lead the AI Factory Build Enablement pillar, including OEM readiness criteria, partner capability verification, and pre-engagement gatekeeping before services handover.
Build and manage a team of Solutions Architects who assess OEM tools, experience, deployment readiness, and mitigation needs for AI Factory build-outs.
Plan, prioritize, and advise technical teams supporting readiness, NPI, integration, and end-to-end AI infrastructure build preparation.
Own the development and adoption of standardized OEM readiness checklists, capability assessments, risk scoring, and engagement health monitoring.
Establish clear criteria for OEM-to-services handover and drive formal sign-off processes that reduce downstream deployment, test, and bring-up issues.
Orchestrate cross-functional workstreams that align architecture, engineering, services, field, program, account, and partner-facing teams around readiness milestones and execution risks.
Partner with NVIDIA services, engineering, FAE, program, account, and tool-development teams to identify recurring readiness gaps and drive them into structured corrective actions.
Create leadership visibility into readiness risk, open mitigation plans, engagement health, and critical blockers affecting AI Factory build execution.
BS, MS, or equivalent experience in Computer Science, Electrical or Computer Engineering, Systems Engineering, Physics, Mathematics, or a related technical field.
8+ overall years of experience in infrastructure architecture, data center deployment, AI/HPC systems, partner enablement, technical field engagement, or large-scale systems integration.
4+ years of experience leading a team.
Prior people leadership experience, including hiring, coaching, developing, and directing technical ICs.
Strong understanding of data center infrastructure, including compute, networking, storage, cabling, power, cooling, firmware/BMC, Linux, and deployment workflows.
Experience translating complex technical requirements into readiness criteria, partner checklists, acceptance gates, or operating processes.
Ability to assess partner capability, identify execution gaps, and drive mitigation plans before issues reach deployment or handover.
Strong cross-functional leadership across architecture, engineering, program, field, account, and partner-facing organizations.
Demonstrated ability to coordinate multiple concurrent technical workstreams, set goals, track progress, and drive timely execution across complex partner engagements.
Executive-ready communication skills, including the ability to summarize risk, readiness, tradeoffs, and decision asks for senior leaders.
Experience with AI Factory, accelerated computing, rack-scale AI infrastructure, large-scale GPU systems, or HPC deployments.
Experience working with OEM, ODM, system integrator, or deployment partner ecosystems.
Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
Background with recruiting, mentoring, and developing technical talent in field-facing, partner-facing, or infrastructure architecture organizations.
You will also be eligible for equity and benefits .

Nice-to-haves

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Keywords to mirror

Platform: eightfold
Effort: medium

Benefits

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