Field Technologist - Enterprise AI Factory

NVIDIA is hiring a Field Technologist - Enterprise AI Factory in Santa Clara, United States. It pays $224k-$357k 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.
The posting mentions GPUs, Hpc and Containers among its tools and skills.
Level classes it as a lead role.
NVIDIA has 2,800+ other open roles on Level.
Posted within the past week.

AI in this role

Drive technical sales alignment and strategy for NVIDIA's AI Factory solutions in the enterprise datacenter market.

GPUsHpcContainersKubernetes

technical-salesai-infrastructuredatacenternetworkingcloud-acceleration

NVIDIA the world leader in Visual and Accelerated Computing, is seeking a Technical sales leader to drive our Data Center AI Factory business. We are searching for a high-energy and accomplished Technical Sales leader to drive our AI Factory solutions into the Enterprise. If you can show passion for how technology is driving multifaceted changes in exciting segments like, Artificial Intelligence, Deep Learning, and Cloud acceleration, we'd like to talk with you! We have a real passion for helping customers innovate and realize the full benefits of the NVIDIA AI Factory.

What you’ll be doing:

In this role, you will drive Technical Sales Alignment with product Strategy and capabilities for NVIDIA's AI Factory solutions for the Accelerated Datacenter. Develop and maintain in-depth knowledge of NVIDIA Go to market strategies, competitors and market landscape both personally and across the team. Engage and develop deep relationships with customers, work with various groups such as account teams, solution architects, marketing, product, and partner sales as well as ISV and Resell partners.

Contribute to and be responsible for revenue growth.
Build effective collaborations for making revenue generating opportunity management, promotions, building sales strategies and actions and training.
Drive strategic technical customer engagement to establish Light House Accounts for key Products and Vertical Markets, including Public Case Studies and Testimonials
Coordinate with Industry Business Development on packaging and go to market for key verticals.
Provide Sales and LHA feedback into product roadmap and priorities, helping guide overall product strategy through technical engagements with customers surrounding current operating environment. This includes OS choices, Provisioning, Orchestration, Containerization methodologies, Organization choices around frameworks but most importantly security.

What we need to see:

Bachelor’s degree or equivalent experience.
12+ years of overall experience with 8+ years knowledge, standard methodologies, and experience with modern HPC/AI Networking &/or GPU application acceleration is preferred.
Familiarity with modern AI computing techniques & software and the ability to scale up technical knowledge to serve the needs of demanding technology companies.
Experience building and implementing a sophisticated technical sales strategy across multiple organizations.
Proactive, creative, flexible and uses good judgement to accomplish tasks on schedule with minimal direction and supervision.

Ways to stand out from the crowd:

A passion for NVIDIA, Graphics, HPC, and AI
Confirmed knowledge in influencing business practices and products to better align with customer needs
Experience selling sophisticated solutions for customers as well as A.I. full-stack solutions with a record of success.
Experience in qualifying new customers to enable revenue opportunities, product alignment, decision makers, etc
Can demonstrate a strong technical foundation to establish credibility with customers and/or partners

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 cash compensation will be determined based on your location, experience, and other objective job-related factors, with 85% paid through base salary and 15% through variable compensation. The expected cash compensation ranges for this position are:
224,000 USD – 356,500 USD for Level 5; and 248,000 USD – 396,750 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 10, 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

Field Technologist - Enterprise AI Factory at NVIDIA rates 65 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

Field Technologist - Enterprise AI Factory is an open job at NVIDIA.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $224k-$357k a year.
The role is based in US, CA, Santa Clara.
The job was posted on November 6, 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 SalesAI InfrastructureDatacenterNetworkingCloud AccelerationGPUsHpcContainers

Questions you could be asked

Tell me about a project where technical sales was part of your work. What did you do?
Tell me about a project where ai infrastructure was part of your work. What did you do?
Tell me about a project where datacenter was part of your work. What did you do?
Tell me about a project where networking was part of your work. What did you do?
Tell me about a project where cloud acceleration was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Technical Sales, AI Infrastructure, Datacenter, Networking, and Cloud Acceleration. 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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