Field Application Engineer

Nvidia

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Remote

Quick summary

Work type: Remote
Location: Durham, NCWestford, MAAustin, TXSanta Clara, CA
Salary: $160,000–$253,000 / yr
Employment: Full-time
Posted: 13 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $155k

This role $206k

$107k $269k

below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $122,359–$187,850 — the blue band above. At the midpoint, this role pays about $206k versus about $155k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Field Application Engineer

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The Field Application Engineer joins the team as a specialist in system design and networking to support large datacenter deployments of AI computing systems. This role involves providing onsite technical engagement, solving complex hardware and deployment issues, and acting as a technical specialist on GPU and networking products. You will identify customer architectures, provide technical and sales training to partners, and establish relationships with customer engineers and architects. Required skills include in-depth knowledge of servers, storage systems, and network devices. Preferred technical competencies include TCP/IP, RDMA, RoCE, NICs, Switches, C/C++, Python, and Embedded Linux Systems. The role focuses on the technical problem of designing and implementing sophisticated enterprise AI datacenter solutions and managing large-scale rollouts of datacenter equipment for various industrial and military applications.

Skills

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

What you'll do

Provide onsite technical support for large-scale datacenter deployments of NVIDIA AI solutions.
Solve complex hardware and deployment issues during the installation of AI computing systems.
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 within the enterprise AI market.
Provide technical and sales training to the direct sales team and channel partners.
Coordinate the implementation of new technologies and products into sophisticated projects.

What we're looking for

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 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 with strong time-management and organization skills.
Strong written and oral communication skills in English to collaborate with management and engineering.
Experience with large-scale rollouts of datacenter equipment (preferred).
Networking knowledge including TCP/IP, RDMA, RoCE, NICs, and Switches (preferred).
C/C++ and Python programming skills, plus Embedded Linux System and API knowledge (preferred).

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