Senior Field Application Engineer - AI Factory

Details

We are looking for a Field Applications Engineer to provide technical leadership for large-scale NVIDIA AI datacenter deployments and to lead customers through the AI computing revolution. This role is ideal for a specialist in system design and networking who can lead technical deployments, collaborate cross-functionally, and support L11 factory integration.

Responsibilities

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments, ensuring seamless integration and customer satisfaction.
• Lead technical deployments of NVIDIA AI systems and collaborate across teams to support L11 factory integration.
• Troubleshoot and resolve complex hardware and deployment issues across GPU, networking, and storage technologies.
• Act as a technical expert supporting sales teams and driving adoption of NVIDIA solutions through close collaboration with customers and internal stakeholders.
• 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.

Requirements

• Bachelor’s or Master’s degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience.
• 8+ 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.

Ways to stand out

• 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—especially in industrial, military, and ruggedized computing environments.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits.

Additional information

• Applications for this job will be accepted at least until January 12, 2026.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate 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.