Nvidia Field Applications Engineer 

United States, Texas 

907658719

What you’ll be doing:

• Provide expert technical support for integrating Nvidia GPU, CPU, DPU and networking solutions into OEM partner solutions, resolving 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.

What we need to see:

• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience, with 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, with extensive experience debugging Ethernet or IB protocol issues.

• Strong analytical and problem-solving skills with meticulous attention to detail, capable of navigating complex technical challenges.

• Proven ability to multitask and adapt in fast-paced, evolving environments while managing multiple priorities and initiatives.

• Excellent communication and collaboration skills, with the ability to work directly with customers and cross-functional teams.

Ways to stand out from the crowd:

• Experience integrating solutions into OEM platforms and supporting large-scale datacenter equipment rollouts.

• Strong networking knowledge, including 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.