Field Application Engineer

NVIDIA Corporation; Santa Clara (CA); On-site; USD 132,000 - 207,000; Full time

Job summary

NVIDIA Corporation is seeking a Field Applications Engineer focused on production at scale to join our team in California. You will troubleshoot hardware and system-level failures, support failure analysis, and collaborate with cross-functional teams to improve reliability and yield across GPU products.

The role involves frequent on-site work in labs and manufacturing sites. The ideal candidate has 5+ years in high-tech electronics, strong analytical skills, and experience with manufacturing and

Qualifications

• BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
• 5+ years of work-related experience in high-tech electronics manufacturing, failure analysis, validation, or hardware debugging roles.
• Capable of excelling in a dynamic, evolving environment.
• Strong ability to manage multiple failure investigations, escalations, and yield improvement initiatives.
• Excellent written and verbal communication in English, with cross-functional collaboration skills.

Responsibilities

• Be a technical specialist on GPU and networking products, supporting manufacturing, quality, and failure analysis teams to improve reliability and yield.
• Establish and nurture technical relationships with internal engineering teams, manufacturing partners, and quality teams.
• Identify failure modes, manufacturing risks, and product requirements to drive corrective actions and improvements.
• Frequent on-site presence in labs or manufacturing sites to diagnose and resolve hardware and system-level failures.
• Support the product lifecycle from NPI through high-volume manufacturing and field returns, ensuring quality and reliability.
• 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 with cross-functional teams to drive issue resolution and corrective actions.

Skills

Root cause analysis

Yield improvement

Cross-functional collaboration

Communication skills

Problem solving

Education

BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science

Job description

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.

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 pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.