Senior Field Applications Engineer at NVIDIA

Tokyo, , Japan -

Full Time

Start Date

Immediate

Expiry Date

14 Feb, 26

Salary

0.0

Posted On

17 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Design, Networking, Technical Support, Datacenter Hardware, Analytical Skills, Problem-Solving, Time Management, Organizational Skills, Communication Skills, Bash Scripting, Ansible, Python Programming, GPU Technologies, DPU Technologies, Signal Integrity, Thermal Management

Industry

Computer Hardware Manufacturing

Description

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. Lead technical deployments of NVIDIA AI systems, collaborate cross-functionally, support L11 factory integration. 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! NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Provide onsite technical leadership for large-scale NVIDIA AI datacenter deployments and troubleshoot complex hardware issues. Collaborate with customers and internal teams to drive adoption of NVIDIA solutions and support factory integration activities.