Field Application Engineer, AI Factory

Nvidia

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: Durham, NC
Salary: $132,000–$207,000 / yr
Posted: 38 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k

This role $170k

$121k most similar roles pay here $233k

This role pays less than 52% of similar roles. Most pay $146,450–$222,000 — the shaded band above. At the midpoint, this role pays about $170k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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At a glance

TL;DR · Field Application Engineer, AI Factory

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As a Field Application Engineer, AI Factory, you will serve as a technical specialist focused on datacenter system and network design for AI computing. You will provide onsite support for large datacenter deployments of AI solutions while solving complex hardware and deployment issues. Your daily responsibilities include establishing technical relationships with customer engineers and architects, identifying product requirements in the enterprise AI market, and providing training to sales teams and channel partners. The role requires deep knowledge of servers, storage systems, and network devices. You will utilize skills in TCP/IP, RDMA, RoCE, NICs, and switches, alongside programming in C/C++ and Python. Additional expertise includes Embedded Linux Systems, APIs, and experience with industrial or ruggedized computing hardware to address the technical challenges of large-scale datacenter equipment rollouts for advanced AI infrastructure.

Skills

GPU Networking TCP/IP RDMA RoCE NICs Switches Python C C++ Embedded Linux APIs System Design Storage Systems

What you'll do

Provide onsite technical support for large datacenter deployments of NVIDIA AI solutions.
Resolve complex hardware and deployment issues within the datacenter environment.
Serve as a technical specialist on GPU and networking products to support sales account managers.
Establish technical relationships with customer 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 direct sales teams and channel partners.

What we're looking for

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
5+ years of work-related experience in the high-tech electronics industry in a system design or technical customer support role.
In-depth knowledge of servers, storage systems, network devices, and other data center hardware.
Expert analytical and problem-solving skills to resolve complex hardware and deployment issues.
Strong written and oral communication skills in English for collaboration with management and engineering.
Experience with large-scale rollouts of datacenter equipment.
Networking knowledge including TCP/IP, RDMA, RoCE, NICs, and Switches.
Proficiency in C/C++, Python, Embedded Linux Systems, and APIs.