Six Figure Work

Field Application Engineer

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $160,000  to $304,750

Employer-published annual base salary, USD. Advertised base range in Durham, NC +6 more

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  • LocationDurham, NC +6 more
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (45 min ago) · observed since
All 7 locations
  • US, NC, Durham
  • US, MA, Westford
  • US, TX, Austin
  • US, TX, Remote
  • US, NC, Remote
  • US, CA, Santa Clara
  • US, MA, Remote

About this job

We are looking for a Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry.

NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers.

What you’ll be doing:

  • Provide onsite support for large datacenter deployments of NVIDIA AI solutions.

  • Solving complex hardware and deployment issues

  • Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions.

  • Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.

  • Identify customer architectures and key product requirements in the enterprise AI market.

  • Provide technical and sales training to the direct sales team and channel partners.

  • Establish strong relationships and communication channels with internal teams.

What we need to see:

  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

  • 8+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role.

  • In-depth knowledge of servers, storage systems, network devices, and other data center hardware

  • Capable of working in a constantly evolving environment without losing focus.

  • Ability to multitask effectively in a multifaceted environment.

  • Expert analytical and problem-solving skills.

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects.

  • Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering.

Ways to stand out from the crowd:

  • Experience with large-scale rollouts of datacenter equipment.

  • Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc.

  • C/C++ and Python programming skills.

  • Embedded Linux System, APIs, and similar embedded OS knowledge.

  • Experience working with OEMs in the industrial, military, and ruggedized computing space.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
160,000 USD – 253,000 USD for Level 4; and 192,000 USD – 304,750 USD for Level 5.

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.

Source: NVIDIA on Workday · View original posting (opens in new tab)

This range next to 6 other live NVIDIA roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live NVIDIA roles with the nearest advertised base floor
RolePublished base
Field Application Engineer (this listing)$160,000 - $304,750
Senior Technical Marketing Engineer - DSX AI Infrastructure Software$160K - $322K
Senior Technical Marketing Engineer — CUDA-Q Developer Enablement$160K - $253K
Manager, Government Accounting and Compliance$160,000 - $247,250
Senior Factory Planner, Repair Operations$160,000 - $247,250
Senior Technical Marketing Engineer - DSX Content Strategy Lead$160K - $322K
L11 System Product Development Engineer$168,000 - $258,750

Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-10-30
Where this pay comes from

Location as the employer wrote it: Multiple locations (7) (Levels 4-5 combined)

160,000 USD – 253,000 USD for Level 4; and 192,000 USD – 304,750 USD for Level 5.

Method
Employer text, read with fixed rules and re-verified
Checked
Rule set
us-base-v2

The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.