Senior Field Applications Engineer at NVIDIA

Tokyo, Japan

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, DatacenterIndustries

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 verbal, written communication, and technical presentation skills in Japanese
Business level English communication

Responsibilities

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

Skills

Key technologies and capabilities for this role

system designdatacenter hardwareGPUnetworkingstorage systemsL11 factory integrationtroubleshootingtechnical customer supportserversvalidationscaling

Questions & Answers

Common questions about this position

What is the salary or compensation for this Senior Field Applications Engineer role?

This information is not specified in the job description.

Is this position remote or does it require onsite work?

The role requires onsite technical leadership for large-scale NVIDIA AI datacenter deployments.

What are the key required skills for this position?

Candidates need 8+ years of experience in system design or technical customer support, deep knowledge of datacenter hardware like servers, storage, and network devices, strong analytical and problem-solving skills, and excellent communication skills in Japanese and English.

What is the company culture like at NVIDIA for this role?

NVIDIA seeks passionate, creative, and driven individuals to deliver groundbreaking enterprise solutions in a collaborative environment involving cross-functional teams, customers, and OEM partners.

What makes a candidate stand out for this Senior Field Applications Engineer role?

Stand out with proven experience in large-scale datacenter rollouts and L11 factory integration, strong networking expertise including RDMA and RoCE, proficiency in Bash, Ansible, and Python, deep GPU/DPU knowledge, and familiarity with datacenter infrastructure like signal integrity and thermal management.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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