Senior Field Application Engineer

Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Datacenter, High-Tech ElectronicsIndustries

Requirements

Candidates must possess a BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science, or equivalent experience, along with over 5 years of work experience in a system design or technical customer support role within the high-tech electronics industry. Essential qualifications include in-depth knowledge of data center hardware such as servers, storage systems, and network devices, coupled with expert analytical and problem-solving skills. Strong time-management, organization, written, and oral communication skills in English are also necessary for effective collaboration and managing multiple initiatives in a dynamic environment.

Responsibilities

The Senior Field Application Engineer will provide onsite technical support for large-scale AI solution deployments in data centers, addressing complex hardware and deployment issues. This role involves acting as a technical specialist for GPU and networking products, supporting sales teams, and building technical relationships with customer engineers, management, and architects. Responsibilities also include identifying customer architectures and product requirements in the enterprise AI market, delivering technical and sales training to sales teams and channel partners, and maintaining strong communication with internal teams.

Skills

System Design

Networking

AI Computing

Datacenter Design

GPU

Technical Support

Customer Engagement

Hardware Deployment

Sales Training

Channel Partners

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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