NVIDIA

NVIDIA

Posted via Workday

Field Application Engineer

Posted Oct 2, 2026

Role at a glance

Job function
Engineering & R&D Computer Hardware Engineering
Salary
Not Disclosed
Location
Remote - Tennessee, United States
Work arrangement
Remote
Employment
Full-time
Experience
5+ years of work-related experience in the high-tech electronics industry, particularly in manufacturing, failure analysis, validation,...
Education
BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).

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Role Summary

AI-generated

The Field Applications Engineer supports the reliability, manufacturability, and quality of GPU and networking products across production and deployment environments. The role works with engineering, manufacturing, and quality teams to investigate failures, improve yield, and support products through high-volume manufacturing and field returns.

What You'll Do

  • Provide technical support on GPU and networking products to manufacturing, quality, and failure analysis teams.
  • Identify system failure modes, manufacturing risks, and product requirements, and drive corrective actions and design or process...
  • Attend labs or manufacturing sites to diagnose, reproduce, and resolve hardware and system-level failures.
  • Support the product lifecycle from new product introduction through high-volume manufacturing and field returns.
  • Develop failure analysis methodologies, test plans, and diagnostic tools for hardware validation.
  • Provide technical training and documentation on failure modes and debugging techniques to manufacturing, test, and quality teams.

Generated from the employer's posting. Verify important details before applying.

View full posting

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, particularly in manufacturing, failure analysis, validation, or hardware debug. Requires strong analytical and problem-solving ability, organization and time management skills, and excellent written and oral communication in English.

Required

  • 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 manufacturing, failure analysis, validation,...
  • Strong analytical and problem-solving abilities.
  • Strong time management and organizational skills.
  • Excellent written and oral communication skills in English.

Preferred

  • Experience with ARM and NVIDIA GPU development.
  • Knowledge of Embedded Linux Systems, APIs, and system-level debugging tools for root cause analysis.
  • Experience working with manufacturing partners, ODMs/OEMs, or reliability/quality teams in high-volume production environments.
  • In-depth understanding of CPU/GPU architecture and system-level failure mechanisms.

Original job description

Content provided by the employer

We are currently seeking a Field Applications Engineer focused on production at scale to join our dedicated and hardworking team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in ensuring the reliability, manufacturability, and quality of our GPU products across production and deployment environments. If you have a strong passion for root cause analysis, yield improvement, and working with cross-functional engineering teams, this is an excellent opportunity for you to make a meaningful contribution!

What you'll be doing:

  • Be a technical specialist on GPU and networking products, directly supporting manufacturing, quality, and failure analysis teams to improve product reliability and yield.
  • Actively establish and nurture technical relationships with internal engineering teams, manufacturing partners, and quality teams.
  •  Identify system failure modes, manufacturing risks, and product requirements to drive corrective actions and design/process improvements.
  • Frequent on-site presence in labs or manufacturing sites to diagnose, reproduce, and resolve hardware and system-level failures.
  • Support the product lifecycle from NPI (New Product Introduction) through high-volume manufacturing and field returns, ensuring quality, reliability, and continuous improvement.
  •  Develop failure analysis methodologies, test plans, and diagnostic tools for hardware validation.
  • Provide technical training and documentation to manufacturing, test, and quality teams on failure modes and debugging techniques.
  • Establish strong communication channels and collaborative relationships with cross-functional teams (design, validation, manufacturing and quality) to drive issue resolution, root cause determination, and corrective actions.


What we need to see:

  • 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 manufacturing, failure analysis, validation, or hardware debug roles.
  • Capable of excelling in a dynamic, constantly evolving environment.
  • Strong ability to manage multiple failure investigations, escalations, and yield improvement initiatives.
  • Expert analytical and problem-solving abilities.
  • Strong time management and organizational skills for coordinating complex failure analysis and cross-functional investigations.
  • Excellent written and oral communication skills in English, with the ability to clearly present failure analysis results and collaborate effectively with cross-functional engineering teams and management. 

Ways to stand out from the crowd:

  • Experience with ARM and NVIDIA GPU development.
  • Knowledge of Embedded Linux Systems, APIs, and system-level debugging tools for root cause analysis.
  • Experience working with manufacturing partners, ODMs/OEMs, or reliability/quality teams in high-volume production environments.
  • In-depth understanding of CPU/GPU architecture and system-level failure mechanisms.

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 USD - 207,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 5, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.