Manager, Field Application Engineering - ODM Support

What You'll Be Doing

• 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.

What We Need To See

• 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.
• In-depth knowledge of computer systems architecture beneficial.
• Linux and Linux system administration skills.
• Familiarity with server, rack, GPU, networking, storage, firmware/BMC, power, thermal, cabling, and Linux-based debug workflows.
• Experience with manufacturing or integration partner workflows.
• Experience with issue triage, escalation management, and cross-functional risk communication.

Ways To Stand Out From The Crowd

• 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.