Senior Field Application Engineer

Posted 4 Days Ago
Be an Early Applicant
3 Locations
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Field Applications Engineer, you'll provide onsite support for large datacenter deployments of NVIDIA AI solutions, resolve technical issues, and engage with customers to deliver effective AI solutions. You'll also train sales teams and establish technical relationships with clients.
Summary Generated by Built In

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

NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI computing. Your primary responsibilities will be onsite technical engagement for large datacenter deployments of NVIDIA AI computing systems. Your role will involve working across functions within our organizations while also ensuring a positive experience for external customers.

What you’ll be doing:

  • Provide onsite support for large datacenter deployments of NVIDIA AI solutions.

  • Solving complex hardware and deployment issues

  • Be a technical specialist on GPU and networking products directly supporting sales account managers, working closely with the team to deliver outstanding AI datacenter solutions.

  • 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 enterprise AI market.

  • 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.

  • In-depth knowledge of servers, storage systems, network devices, and other data center hardware

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

  • Ability to multitask effectively in a multifaceted 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 sophisticated projects.

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

Ways to stand out from the crowd:

  • Experience with large-scale rollouts of datacenter equipment.

  • Networking knowledge -- TCP/IP, RDMA, RoCE, NICs, Switches, etc.

  • C/C++ and Python programming skills.

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

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

  • Knowledge of HVAC and cooling systems for thermal management, power distribution, cabling, and rack layout as well as CPU Architecture knowledge

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

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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
C/C++
Cpu Architecture
Datacenter Systems
Embedded Linux
Hvac
Networking
Nvidia Ai Platforms
Python
Rdma
Roce
Tcp/Ip
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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