Senior Field Application Engineer at NVIDIA

Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

High-Tech Electronics, Enterprise Software, Artificial IntelligenceIndustries

Requirements

Candidates must possess a BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science, or equivalent experience, along with 6+ years of relevant work experience in the high-tech electronics industry in a system design or technical customer support role. Required knowledge includes servers, storage systems, network devices, and other data center hardware, with strong analytical, problem-solving, multitasking, time-management, and communication skills. Preferred qualifications include in-depth enterprise server design knowledge, experience with large-scale datacenter rollouts, familiarity with PCIe, Platform management, Infiniband, and Ethernet, embedded Linux system and API knowledge, and experience working with OEMs in the enterprise compute, AI, and HPC sectors.

Responsibilities

The Senior Field Application Engineer will serve as a technical specialist for datacenter products, providing direct support to partner engineering groups and sales account managers to deliver AI datacenter solutions. Responsibilities include solving complex hardware design-in and deployment issues, offering onsite support for system design-in engagements, establishing technical relationships with customer engineers, management, and architects, and providing technical support for enterprise deployments. The role also involves delivering technical and sales training to sales teams and channel partners, and fostering strong communication with internal teams.

Skills

System Design

Networking

Datacenter Platforms

AI Solutions

Hardware Design

Technical Customer Support

Sales Training

Electrical Engineering

Physics

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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