Field Applications Engineer

at Nvidia
📍 United States
USD 160,000-304,800 per year
MIDDLE
✅ Remote

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Linux @ 2 Python @ 2 Communication @ 3 Networking @ 3 Debugging @ 3 API @ 2 Customer Support @ 6 GPU @ 3

Details

We are looking for a Field Applications Engineer to lead technical integration of GPU, CPU, DPU, and networking technologies into OEM storage solutions for AI datacenters. The role acts as the primary technical liaison between NVIDIA engineering and strategic storage partners and requires strong system design, networking, and datacenter hardware expertise.

Responsibilities

  • Provide expert technical support for integrating NVIDIA GPU, CPU, DPU, and networking solutions into OEM partner solutions; resolve complex hardware, software, and deployment challenges.
  • Serve as the technical lead for NVIDIA products, partnering closely with sales account managers to deliver high-performance AI datacenter solutions.
  • Build and maintain strong technical relationships with customer engineers, architects, and decision-makers at key enterprise AI accounts.
  • Identify customer architectures and translate evolving requirements into actionable insights for product and solution development.
  • Collaborate cross-functionally with internal engineering, product, and support teams to ensure alignment and execution excellence.

Requirements

  • Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
  • 8+ years in system design or technical customer support in the switching and routing industry.
  • Deep understanding of datacenter hardware including servers, storage systems, and network devices.
  • Extensive experience debugging Ethernet or InfiniBand (IB) protocol issues.
  • Strong analytical and problem-solving skills and meticulous attention to detail.
  • Proven ability to multitask and adapt in fast-paced, evolving environments while managing multiple priorities and initiatives.
  • Excellent communication and collaboration skills; ability to work directly with customers and cross-functional teams.

Ways to stand out

  • Experience integrating solutions into OEM platforms and supporting large-scale datacenter equipment rollouts.
  • Strong networking knowledge: TCP/IP, Ethernet, InfiniBand (IB), RDMA, RoCE, NICs, and switches.
  • Proficiency in Python and familiarity with embedded Linux systems, APIs, and related OS environments.
  • Solid understanding of CPU architecture and storage protocols across block, file, object, and cloud environments.
  • Proven ability to collaborate with OEMs and cross-functional teams to deliver scalable, high-performance solutions.

Compensation & Other Details

  • Base salary ranges by level:
    • Level 4: 160,000 USD - 253,000 USD
    • Level 5: 192,000 USD - 304,750 USD
  • You will also be eligible for equity and benefits.
  • Applications accepted at least until July 29, 2025.
  • NVIDIA is an equal opportunity employer committed to diversity and inclusion.