Senior Field Application Engineer

Mexico

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI Computing, Deep Learning Solutions, High-Tech ElectronicsIndustries

Requirements

Candidates should possess a BS or MS degree in Engineering, Electrical Engineering, Physics, or Computer Science, or equivalent experience, along with over 5 years of relevant work experience in the high-tech electronics industry, specifically in system design or technical customer support. Experience with ARM and NVIDIA GPU development, proficiency in C/C++ and Python programming, knowledge of Embedded Linux Systems, APIs, and similar embedded OS, experience with OEMs in industrial, military, and ruggedized computing, and an in-depth understanding of CPU architecture are advantageous. The role requires the ability to excel in a dynamic environment, manage multiple initiatives, possess strong analytical and problem-solving skills, and demonstrate excellent time-management and organizational abilities, as well as strong written and oral communication skills in English.

Responsibilities

The Senior Field Applications Engineer will act as a technical specialist for GPU and networking products, supporting sales account managers to achieve design wins and establishing technical relationships with key customer accounts. Responsibilities include identifying customer architectures and product requirements to implement NVIDIA's solutions, frequent on-site travel to resolve hardware and software challenges, and leading products through their entire lifecycle. The role also involves developing technical solutions, creating hardware and software demos, providing technical and sales training to internal teams and partners, and establishing strong communication channels with internal teams to ensure a positive customer experience.

Skills

GPU

Networking

System Design

Technical Support

Customer Engagement

Hardware

Software

Sales Training

Channel Partners

Deep Learning

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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