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 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. You should be comfortable working in a dynamic environment, combining people leadership with hands-on technical judgment. Excellent communication skills, independent execution, and the ability to build repeatable operating rhythms across complex partner integration work are essential.

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.

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 and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

Applications for this job will be accepted at least until July 11, 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.