Nvidia Senior Field Applications Engineer 

Japan, Tokyo 

94962862

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.