Senior Field Application Engineer - AI Compute Systems

Job description

We are now looking for a Field Applications Engineer! NVIDIA’s AI platforms have already made a major impact on the field and are broadly used across leading academic institutions, start-ups, and industry, including the world’s largest enterprise companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Field Applications Engineering role is for a specialist in system design, networking and leader to our customers who believe that artificial intelligence is a new computing revolution and has the potential to transform the industry.

NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers. You must be a U.S. Citizen to apply for this position.

What you’ll be doing: Provide onsite support for large datacenter deployments of NVIDIA AI solutions. Solving complex hardware and deployment issues Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions. Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.

Identify customer architectures and key product requirements in the enterprise AI market. Provide technical and sales training to the direct sales team and channel partners. Establish positive relationships and communication channels with internal teams. Up to 30% travel may be required. What we need to see: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 5+ 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 Capable of working in a constantly evolving environment without losing focus. Ability to multitask optimally in a multifaceted environment. Expert analytical and problem-solving skills. Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very sophisticated projects.

Ways to stand out from the crowd: Experience with large-scale rollouts of datacenter equipment. Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc. Embedded Linux System, APIs, and similar embedded OS knowledge. Experience working with OEMs in the industrial, military, and ruggedized computing space. Knowledge of HVAC and cooling systems for thermal management, power distribution, cabling, and rack layout as well as CPU Architecture knowledge Your base salary will be determined based on your location, experience, and other objective job-related factors.

The expected base salary ranges for this position are: 132,000 USD – 207,000 USD for Level 3; and 160,000 USD – 253,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.