Field Applications Engineer

Nvidia • Austin, TX

74d • $132,000 - $207,000 • Remote

About The Position

We are now looking for a Field Applications Engineer! NVIDIA's AI platforms have already made a major impact across leading academic institutions, start-ups, and the world's largest enterprise companies. We need passionate, creative, and driven individuals to help us continue delivering groundbreaking enterprise solutions. This role is ideal for a specialist in system design and networking who can lead customers through the AI computing revolution.

Requirements

• Bachelor's or Master's degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
• 5+ years of experience in system design or technical customer support within the technology industry, including hands-on involvement in L11 factory integration, validation, and scaling activities.
• Deep knowledge of datacenter hardware such as servers, storage systems, and network devices.
• Strong analytical, problem-solving, time-management, and organizational skills, with the ability to manage multiple complex initiatives in dynamic environments.
• Excellent written and verbal communication skills, with a proven ability to collaborate effectively across engineering and leadership teams.

Nice To Haves

• Proven experience with large-scale datacenter rollouts and integration of solutions into OEM platforms, including support for L11 factory integration and the ability to scale production efficiently.
• Strong networking expertise across TCP/IP, RDMA, RoCE, NICs, and switches, with a solid understanding of CPU architecture and embedded Linux systems, APIs, and OS environments.
• Proficiency in Bash scripting, Ansible and Python programming, enabling automation, diagnostics, and performance tuning across complex system environments.
• Deep knowledge of GPU and DPU technologies, including NCCL for high-performance communication in multi-GPU systems.
• Familiarity with signal integrity principles, thermal management (HVAC and cooling), power distribution, cabling, and rack layout in the data center.

Responsibilities

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer happiness.
• Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies.
• Act as a technical expert supporting sales teams, driving adoption of NVIDIA solutions through close collaboration with customers and internal collaborators.
• Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements in the enterprise AI space.
• Support L11 factory integration activities by working with OEM partners to embed NVIDIA technologies into manufacturing workflows, accelerating deployment readiness and time-to-value.

Benefits

• Equity and benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree