About the job
NVIDIA is seeking a Field Application Engineering Manager to lead technical execution for rack-scale AI system integration through ODM and manufacturing partner ecosystems. This leader will manage and develop FAEs supporting partner integration, validation, launch readiness, escalation management, and production ramp. The role requires strong technical depth, people leadership, and the ability to coordinate across NVIDIA engineering, architecture, program, account, and partner-facing teams.
Responsibilities
Lead a team of FAEs providing technical support for ODM and manufacturing partner integration, validation, launch readiness, and production ramp.
Work closely with account, program, architecture, engineering, operations, and partner-facing teams to align priorities, resolve issues, and support successful rack-scale system execution.
Own escalation rhythm for critical partner integration issues, provide clear risk visibility, and drive timely closure across cross-functional teams.
Be a technical expert on NVIDIA products and rack-scale AI infrastructure, leading technical support across design-in, NPI, rack integration, validation, production ramp, sustaining support, and lifecycle transitions.
Nurture the growth of direct reports, including supervision, training, and mentoring.
Build repeatable operating rhythms, debug practices, and readiness reviews across the team.
Qualifications
Minimum
BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
8+ overall years of experience in rack integration, datacenter systems, technical customer support, manufacturing support, or partner-facing engineering, with prior technical leadership or people management experience
4+ years of experience leading a team
Comfortable in a hands-on lab environment
Preferred
Experience leading FAEs or technical teams through rack-scale system NPI, validation, or production ramp.
Background with ODM/manufacturing partner engagement.
Experience with factory readiness, rack integration, deployment issue triage, or large-scale infrastructure rollout.
Strong familiarity with NVIDIA GPU, networking, and rack-scale infrastructure.