NVIDIA
Field Application Engineer
$160K–$305K
US, NC, Durham +6 · Full-time · Posted Oct 14, 2026
- Location
- US, NC, Durham
US, MA, Westford
US, TX, Austin
US, TX, Remote
US, NC, Remote
US, CA, Santa Clara
US, MA, Remote - Experience
- 8+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role.
- Education
- BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
About the job
Provides onsite technical support and customer engagement for large-scale NVIDIA AI datacenter deployments, focusing on system design, networking, and resolving hardware and deployment issues.
What you'll do
- Support large datacenter deployments of NVIDIA AI solutions and resolve complex hardware and deployment issues.
- Advise customers and sales teams on GPU, networking, and AI datacenter solutions; identify customer architectures and product requirements.
- Build customer and internal relationships, and provide technical and sales training to sales teams and channel partners.
What they ask 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 role or technical customer support role.
- In-depth knowledge of servers, storage systems, network devices, and other data center hardware.
- Strong written and oral communication skills in English, with the ability to collaborate with management and engineering.
Nice to have
- Experience with large-scale rollouts of datacenter equipment.
- Networking knowledge (TCP/IP, RDMA, RoCE, NICs, Switches), C/C++ and Python programming skills, embedded Linux systems, APIs, or experience with OEMs in industrial, military, and ruggedized computing.
Pay
160,000 USD - 253,000 USD base salary (Level 4); 192,000 USD - 304,750 USD base salary (Level 5)
Tools
GPU, TCP/IP, RDMA, RoCE, NICs, Switches, C/C++, Python
AI focus
Supports customer deployments of NVIDIA AI computing systems in datacenters; NVIDIA also states it uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative