Manager, Field Application Engineering - OEM Support

NVIDIA is hiring a Manager, Field Application Engineering - OEM Support in Durham, United States. It pays $192k-$305k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include technical leadership, oem support and field application engineering.
Level classifies it as a lead role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Manage and lead OEM technical field teams to execute new AI and GPU product integrations for partners.

technical-leadershipoem-supportfield-application-engineeringproduct-integrationcross-functional-management

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.

We are presently seeking an exceptionally skilled and top-tier Technical Professional to become a valuable addition to our OEM team. In this role, you will be essential in managing and leading the OEM technical field teams to ensure successful execution of new products for OEM partners. You will collaborate with cross-functional teams, hardware, software engineering, OEM project management, and sales. Plan, prioritize, and advise OEM technical teams on NPI and end-to-end solutions.

What you'll be doing:

Coordinate Technical Engagements: Oversee and prioritize the workflow of OEM technical teams supporting NVIDIA product integration, ensuring alignment with sales strategy and design win objectives.
Lead NPI activities: Plan and coordinate efforts, guide teams to integrate NVIDIA technologies into platforms with OEMs.
Orchestrate End-to-End Solution Development: Lead the prioritization and sequencing of workstreams that deliver complete hardware and software solutions, ensuring cross-functional alignment and timely execution.
Address OEM Partner Concerns and Provide Support: Resolve intricate customer issues, handle partner concerns, and uphold strong technical relationships to ensure satisfaction and swift problem-solving.
Coordinate Large-Scale Deployments: Lead technical execution for major customer deployments, coordinating internal and external resources to ensure successful implementation.
Recruit and Build Talent: Participate in the recruitment process, lead interview panels, and prepare executive-level hiring justifications for new team members.
Influence Strategy and Policy: Provide input to business units, recommend procedural improvements, and contribute to OEM account strategy and roadmap planning.

What we need to see:

Bachelor's or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, or MBA with focus on IT management.
10+ overall years of experience with OEM, ODM, datacenter operations, deployments and management
5+ years of experience managing a Solutions Architecture team.
Proven Coordination Skills: Demonstrated ability to manage and prioritize workflows across technical engagements, NPI efforts, and E2E solution development
OEM Experience: Familiarity with OEM integration cycles including product qualification and launch processes• Technical Breadth: High-level understanding of NVIDIA’s solution suite, including GPU, networking (NICs, DPUs, switches), and software stacks relevant to data center and OEM deployments
Cross-Functional Leadership: Experience guiding cross-functional teams (engineering, sales, product) through complex deployments and customer engagements
Ability to represent NVIDIA in Tier-1 OEM account reviews, handle customer issues, and build trusted technical relationships with collaborators
Project Management Expertise: Skilled in setting goals, tracking progress, and ensuring timely execution across multiple concurrent initiatives
Strategic Influence: Capable of shaping OEM engagement strategy, contributing to roadmap planning, and syncing with sales to drive deeper adoption of NVIDIA solutions
Recruiting Competence: Knowledgeable about NVIDIA’s hiring process and capable of leading interview panels, evaluating technical talent, and crafting executive-level hiring justifications

Ways to stand out from the crowd:

Expertly aligns technical and business teams in NPI, solution development, and OEM engagement.
Develops a future-focused view of NVIDIA tech within OEM platforms, translating it into actionable plans.
Contributes to broader initiatives like OEM strategy, mentoring, and process improvement.

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 individuals 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 other objective job-related factors. The expected base salary range for this position is 192,000 USD – 304,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

How we rate this

Manager, Field Application Engineering - OEM Support at NVIDIA rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Manager, Field Application Engineering - OEM Support is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $192k-$305k a year.
The role is based in US, NC, Durham.
The job was posted on October 4, 2026.
Seniority: lead.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Technical LeadershipOem SupportField Application EngineeringProduct IntegrationCross Functional Management

Questions you could be asked

Tell me about a project where technical leadership was part of your work. What did you do?
Tell me about a project where oem support was part of your work. What did you do?
Tell me about a project where field application engineering was part of your work. What did you do?
Tell me about a project where product integration was part of your work. What did you do?
Tell me about a project where cross functional management was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Technical Leadership, Oem Support, Field Application Engineering, Product Integration, and Cross Functional Management. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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