We are currently seeking aSenior Field Applications Engineerfocused 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 inensuring the reliability, manufacturability, and quality of our GPU products across production and deployment environments If you have a strong passion forroot cause analysis, yield improvement, and working with cross-functional engineering teams , this is an excellent opportunity for you to make a meaningful contribution!
Local to Guadalajara is strongly preferred.
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.
Activelyestablishand nurture technical relationships with internal engineering teams, manufacturing partners, and qualityteams.
Identifysystem 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 teamsonfailure modesand debugging techniques.
Establishstrong communicationchannels and collaborative relationships with cross-functional teams (design, validation,manufacturingandquality) 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.
Strongtime managementand 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.

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.