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Senior Field Application Engineer

US, WI, Remote
Full Time Remote

Summary

Job Description

We are now looking for a Field Applications Engineer! NVIDIA’s AI solutions 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 are working to deliver world class datacenter platforms and AI solutions.

NVIDIA is seeking an outstanding FAE with a focus on datacenter system and networking design and manufacturing for AI/HPC computing. Your primary responsibilities will be technical engagement for OEM networking design-in and integration into 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.

What you’ll be doing:

  • Be a technical specialist on datacenter and networking products directly supporting sales account managers, and our partners engineering and manufacturing teams.

  • Solving complex hardware and deployment issues

  • Provide onsite support for large datacenter manufacturing and deployment of NVIDIA AI solutions.

  • Actively establish the technical relationship with our customer’s engineers, management, and architects.

  • 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 strong relationships and communication channels with internal teams.

What we need to see:

  • 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

  • Capable of working in a constantly evolving environment without losing focus.

  • Ability to multitask effectively 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.

  • Strong written and oral communication skills in English with the ability to effectively collaborate with management and engineering.

Ways to stand out from the crowd:

  • In-depth knowledge of enterprise server design and management

  • 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 enterprise, government, and large datacenter deployments.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 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 July 29, 2025.

NVIDIA is committed to fostering a diverse 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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

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