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Ai Datacenter Engineer Jobs (NOW HIRING)

NVIDIA Gruppe

WI · On-site

$160K - $253K/yr

Overview We are now looking for a Field Applications Engineer! NVIDIA's AI platforms have already ... NVIDIA is seeking an outstanding FAE with a focus on datacenter system and network design for AI ...

AI Chopping Block

Software Engineer - Datacenter

Memphis, TN · On-site

$102K - $122K/yr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... The Datacenter Engineering team builds the internal systems and platforms that keep our datacenters ...

Triwill Group

$53K - $68K/yr

... the most demanding AI workloads. The Infrastructure Quality team ensures that all datacenter ... We work closely with manufacturing partners, general contractors, engineering teams, and operations ...

AI Chopping Block

$84K - $101K/yr

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid ... The Datacenter Engineering team builds the internal systems and platforms that keep our datacenters ...

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How much do ai datacenter engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for ai datacenter engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

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For Ai Datacenter Engineer jobs, the most frequently searched job titles are:

Senior Field Application Engineer - AI Factory Deployment

WI • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIA Gruppeexternal

$160K - $253K/yr

Other

Posted 26 days ago

Key responsibilities

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

  • Solve complex hardware and deployment issues related to AI datacenter systems.

  • Establish and maintain technical relationships with customer engineers, management, and architects.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Overview

We are now looking for a 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 a specialist in system design, networking and a 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.

Responsibilities
  • 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 positive relationships and communication channels with internal teams.
Qualifications
  • 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 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 optimally in a multifaceted environment.
  • Expert analytical and problem‑solving skills.
  • Strong time‑management and organization skills for coordinating multiple initiatives, priorities, and implementation 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.
Desired Additional Experience
  • Experience with large‑scale rollouts of datacenter equipment.
  • Networking knowledge – TCP/IP, RDMA, RoCE, NICs, Switches, etc.
  • 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.
Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $132,000 – $207,000 USD for Level 3, and $160,000 – $253,000 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted until July10,2026.

Equal Opportunity Employer

NVIDIA is committed to fostering an inclusive work environment and proudly embraces equal opportunity. We do not discriminate 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.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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