NVIDIA
Field Application Engineer
$132K–$253K
US, CA, Santa Clara · Full-time · Posted Oct 7, 2026
- Experience
- 4+ years of work-related experience in the high-tech electronics industry, particularly in manufacturing, failure analysis, validation, or hardware debug roles.
- Education
- BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience).
About the job
Supports GPU and networking products in manufacturing and deployment by investigating failures, improving reliability and yield, and driving corrective actions across the product lifecycle.
What you'll do
- Support manufacturing, quality, and failure-analysis teams with product reliability and yield issues; diagnose hardware and system-level failures on site.
- Identify failure modes and manufacturing risks, and drive root-cause analysis, corrective actions, and design or process improvements.
- Develop failure-analysis methods, test plans, and diagnostic tools; provide training and documentation to relevant teams.
What they ask for
- 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.
- Strong analytical and problem-solving abilities, time management, and organizational skills.
- Excellent written and oral communication skills in English.
Nice to have
- Experience with ARM and NVIDIA GPU development.
- Knowledge of Embedded Linux Systems, APIs, and system-level debugging tools for root cause analysis.
Pay
132,000 USD - 207,000 USD base salary (Level 3); 160,000 USD - 253,000 USD base salary (Level 4)
Tools
GPU, networking products, ARM, NVIDIA GPU, Embedded Linux Systems, APIs
AI focus
NVIDIA states that it uses AI tools in its recruiting processes; the role does not otherwise describe AI work.
Model-written summary · the original posting is authoritative