Senior Field Application Engineer
NVIDIA is hiring a Senior Field Application Engineer for a remote role open to applicants in Mexico. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions failure analysis, hardware debug and gpu among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Ensure reliability, quality, and manufacturability of GPU and AI hardware products through failure analysis and root cause resolution.
We are currently seeking a Senior 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!
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.
- 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.
How we rate this
Senior Field Application Engineer at NVIDIA rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where failure analysis was part of your work. What did you do?
- Tell me about a project where hardware debug was part of your work. What did you do?
- Tell me about a project where gpu was part of your work. What did you do?
- Tell me about a project where quality assurance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Failure Analysis, Hardware Debug, GPU, and Quality Assurance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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