[Remote] Field Applications Engineer at NVIDIA

Massachusetts, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Hardware, Semiconductors, Data CentersIndustries

Requirements

Candidates must possess a Bachelor's or Master's degree in Engineering, Electrical Engineering, Physics, Computer Science, or equivalent experience, with over 8 years in system design or technical customer support within the switching and routing industry. A deep understanding of datacenter hardware, including servers, storage systems, and network devices, along with extensive experience debugging Ethernet or IB protocol issues, is essential. Strong analytical and problem-solving skills, meticulous attention to detail, and the ability to multitask and adapt in fast-paced environments are required. Excellent communication and collaboration skills are also necessary.

Responsibilities

The Field Applications Engineer will provide expert technical support for integrating NVIDIA GPU, CPU, DPU, and networking solutions into OEM partner solutions, resolving complex hardware, software, and deployment challenges. This role serves as the technical lead for NVIDIA products, partnering with sales account managers to deliver high-performance AI datacenter solutions. Responsibilities include building and maintaining strong technical relationships with customer engineers, architects, and decision-makers, identifying customer architectures, and translating evolving requirements into actionable insights for product and solution development. The engineer will also collaborate cross-functionally with internal engineering, product, and support teams to ensure alignment and execution excellence.

Skills

System Design

Networking

GPU Integration

CPU Integration

DPU Integration

Datacenter Hardware

Switching

Routing

Technical Support

Customer Relationship Management

AI Datacenters

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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