Senior Field Application Engineer

Texas, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

High-Tech Electronics, Enterprise AIIndustries

Requirements

Candidates must possess a BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science, or equivalent experience, with over 10 years of relevant work experience in the high-tech electronics industry in a system design or technical customer support role. Essential qualifications include in-depth knowledge of servers, storage systems, network devices, and other data center hardware, along with expert analytical, problem-solving, time-management, and organizational skills. Strong written and oral communication skills in English are also required. Preferred qualifications include in-depth knowledge of Infiniband, Ethernet, or similar networking solutions, experience with large-scale datacenter equipment rollouts, networking knowledge (TCP/IP, RDMA, RoCE, NICs, Switches), embedded Linux system and API knowledge, and experience working with OEMs in industrial, military, and ruggedized computing.

Responsibilities

The Senior Field Application Engineer will act as a technical specialist in networking and datacenter products, supporting sales account managers to deliver AI datacenter solutions. Responsibilities include solving complex hardware and deployment issues, providing onsite support for large datacenter deployments of NVIDIA AI solutions, and establishing technical relationships with customer engineers, management, and architects. The role involves identifying customer architectures and key product requirements in the enterprise AI market, providing technical and sales training to sales teams and channel partners, and establishing strong communication channels with internal teams. The FAE will also be responsible for technical engagement for OEM networking design-in and integration into large datacenter deployments of NVIDIA AI computing systems.

Skills

System Design

Networking

Datacenter Design

AI Computing

Hardware Troubleshooting

Deployment Support

Technical Sales

Channel Partner Training

Electrical Engineering

Computer Science

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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