Senior Signal Integrity Field Applications Engineer

Reposted 11 Days Ago
Be an Early Applicant
3 Locations
In-Office
160K-305K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves technical customer engagement for NVIDIA GPU products, focusing on system design and providing solutions in AI computing and deep learning.
Summary Generated by Built In

We are now looking for a Senior Signal Integrity Field Applications Engineer! NVIDIA’s deep learning platforms have already made a major impact on the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hardworking, and creative people to help us continue to bring groundbreaking enterprise solutions to the world. This Solution Architect role is for a specialist in system design, networking and leader to our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the industry.

NVIDIA is searching for an extraordinary FAE with a focus on system design for AI computing. Your primary responsibilities will be the customer technical engagement for NVIDIA GPU products for computing systems targeted at a wide range of deployments from the datacenter to the edge. You will be working cross-functionally with our organizations as well as ensuring a positive experience for external customers.

What you’ll be doing:

  • Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to secure design wins.

  • Actively establish the technical relationship with our customer’s engineers, management, and architects at focus accounts.

  • Identify customer architectures and key product requirements in the CSP/OEM AI market.

  • Provide onsite support to solve problems in hardware and software, and deep learning inference.

  • Lead the support of the product through the design-in phase all the way to the product end of life.

  • Create technical solutions such as hardware & software demos and example system designs.

  • Provide technical and sales training to the direct sales team and channel partners.

  • Establish strong relationships and communication channels with internal teams.

What we need to see:

  • BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

  • 8+ years of work-related experience in the high-tech electronics industry in a system design role or technical customer support role.

  • Capable of working in a constantly evolving environment without losing focus.

  • Ability to multitask effectively in a dynamic environment.

  • Expert analytical and problem-solving skills.

  • Strong time-management and organization skills for coordinating multiple initiatives, priorities, and implementations of new technology and products into very complex projects.

  • Expert written and oral communication skills in English with the ability to effectively collaborate with management and engineering.

Ways to stand out from the crowd:

  • ARM and NVIDIA GPU development

  • Hands-on troubleshooting of Ethernet physical layer issues, including signal integrity and link training failures.

  • Embedded Linux System, APIs and similar embedded OS knowledge.

  • Experience working with OEMs in the industrial, military, and ruggedized computing space.

  • CPU and PCIe Architecture knowledge

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 8, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Top Skills

APIs
Embedded Linux
Ethernet
Gpu
Pcie
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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