Senior Field Applications Engineer

NVIDIA is seeking a Senior Field Applications Engineer to lead technical deployments of NVIDIA AI systems in datacenters. This role involves providing onsite technical leadership, troubleshooting hardware and deployment issues across GPU, networking, and storage, and acting as a technical expert to support sales teams. The engineer will also lead engagement with customer engineers to identify system architectures and support L11 factory integration with OEM partners.

Must Have

• Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments
• 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
• Lead technical engagement with customer engineers, architects, and decision-makers to identify system architectures and key product requirements
• Support L11 factory integration activities by working with OEM partners
• 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
• Excellent verbal, written communication, and technical presentation skills in Japanese
• Business level English communication

Good to Have

• 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

Company

Job Requisition ID

JR2007948

Job Category

Sales

Time Type

Full time

We are now looking for a Senior 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.

What you’ll be doing:

• 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.

What we need to see:

• 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 verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement.

Ways to stand out from the crowd:

• 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.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are creative and autonomous, we want to hear from you!