Field Applications Engineer
NVIDIA· Engineer, Field Apps
Santa Clara, CA$132k - $207knot specifiedPosted 2w ago
About the role
Field Applications Engineer focused on production at scale, supporting GPU products across production and deployment environments with emphasis on root cause analysis, yield improvement, and cross-functional collaboration.
Responsibilities
- 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.
Qualifications
- BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
- 4+ 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.
Skills
Required:GPU and networking product knowledgeFailure analysisRoot cause analysisCross-functional collaborationCommunication
Benefits
- equity
- benefits (as listed in job description)
Last updated Oct 9, 2026. Interested? Apply on the company site.
About NVIDIA
World Leader in AI Computing
NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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