Manager, Field Application Engineering - ODM Support
$192,000–$304,750 year
On-siteSanta Clara, California, United States
Job Summary
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.
Required Qualifications
- 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
- 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
- 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
Desired Qualifications
- 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
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