Senior Field Application Engineer at NVIDIA

Santa Clara, California, United States

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$132,000 – $253,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, CSP, OEM, High-Tech ElectronicsIndustries

Requirements

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience)
5+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles
Strong analytical and problem-solving abilities
Excellent written and oral communication skills in English
Ability to manage multiple initiatives and priorities
Time-management and organizational skills

Responsibilities

Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins
Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts
Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA’s solutions
Provide onsite support to solve hardware and software problems, with a focus on deep learning inference
Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness
Develop technical solutions including hardware & software demos and example system designs
Offer technical and sales training to direct sales teams and channel partners
Establish strong communication channels and collaborative relationships with internal teams to ensure a positive customer experience

Skills

Key technologies and capabilities for this role

GPUNetworkingDeep LearningAI InferenceSystem DesignHardwareSoftwareTechnical SupportCustomer RelationshipsProblem Solving

Questions & Answers

Common questions about this position

What is the salary range for the Senior Field Application Engineer position?

The base salary range is $132,000 - $253,000 USD.

Is this a remote, hybrid, or on-site role?

This is a hybrid position.

What skills are required for this role?

Required skills include strong analytical and problem-solving abilities, excellent written and oral communication skills in English, ability to manage multiple initiatives and priorities, and time-management and organizational skills.

What is the company culture like at NVIDIA?

NVIDIA is committed to fostering a diverse work environment.

What are the application instructions for this position?

Submit your application through the NVIDIA website, as NVIDIA accepts applications on an ongoing basis.

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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