1 day ago
Base Salary
$224k - $357k/yr
Responsibilities
- Lead the AI Factory Build Enablement pillar, including OEM readiness criteria, partner capability verification, and pre-engagement gatekeeping.
- Build, hire, coach, and manage a team of Solutions Architects focused on AI Factory OEM readiness.
- Plan and advise technical teams across readiness, NPI, integration, and end-to-end AI infrastructure build preparation.
- Develop standardized readiness checklists, capability assessments, risk scoring, engagement health monitoring, and services handover criteria.
- Coordinate cross-functional workstreams across architecture, engineering, services, field, program, account, and partner-facing teams.
- Identify recurring readiness gaps, drive corrective actions, and provide leadership visibility into risks, mitigations, blockers, and decision needs.
Requirements
- BS, MS, or equivalent experience in Computer Science, Electrical or Computer Engineering, Systems Engineering, Physics, Mathematics, or a related technical field.
- 8+ 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, including hiring, coaching, developing, and directing technical individual contributors.
- Strong understanding of data center infrastructure, including compute, networking, storage, cabling, power, cooling, firmware/BMC, Linux, and deployment workflows.
- Experience translating technical requirements into readiness criteria, partner checklists, acceptance gates, or operating processes.
- Ability to assess partner capabilities, identify execution gaps, and drive mitigation plans before deployment or handover.
- Strong cross-functional leadership and ability to coordinate multiple concurrent technical workstreams across complex partner engagements.
- Executive-ready communication skills for summarizing risk, readiness, tradeoffs, and decision requests.
- Preferred experience with AI Factory, accelerated computing, rack-scale AI infrastructure, large-scale GPU systems, HPC deployments, OEM/ODM/system integrator ecosystems, NVIDIA platforms, services or field engineering, and technical talent development.
Benefits
- Base salary range of 224,000 USD to 356,500 USD, plus eligibility for equity and benefits.
- Applications are accepted at least until September 25, 2026.
- This posting is for an existing vacancy.
Tech Stack
Categories
Solutions Engineering
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.