Test and Failure Analysis Technician
US, CA, Santa ClaraPosted Oct 6, 2026
Overview
- Added in 30 days
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At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used for work and play. Our technology impacts the visual experience in video game development, film production, deep learning, space exploration, medicine, computational finance and automotive design. And we've only scratched the surface of what we can accomplish when we apply our technology to it. We need passionate, hard-working, and creative people to help us take on some of these extraordinary opportunities.
What you will be doing:
• Work in the Board Level Reliability lab environment and set up functional test hardware and software for various NV products, including large server systems, and perform functional validation for GPU/Tegra products.
• Develop and maintain scripts for automated test programs.
• Set up and operate probing systems to perform electrical functional tests.
• Perform mechanical and electrical testing along with Physical Failure Analysis (PFA) to identify failure mechanisms.
• Conduct advanced failure analysis using techniques such as CSAM (C-Scan Acoustic Microscopy) and X-ray imaging to detect internal defects, delamination, voids, and structural issues.
• Analyze failure data, correlate test results, and generate detailed reports with clear root cause findings.
• Maintain, debug, and continuously improve test setups and lab infrastructure.
• Assist in lab maintenance, calibration, and materials control.
What we need to see:
• Bachelor’s degree in Electrical Engineering or equivalent experience with minimum 5 year semiconductor FA experience
• Strong understanding of electronics reliability concepts and failure mechanisms.
• Hands-on experience with failure analysis techniques including PFA, CSAM, and X-ray inspection.
• Familiarity with electronic testing, reliability validation, and root cause analysis methodologies.
• Comfortable working with multiple operating systems (Windows, Linux, CentOS).
• Basic programming/scripting knowledge for test automation.
• Experience with lab instruments (oscilloscopes, multimeters, curve tracers, etc.).
• Proficient in Microsoft Office tools for data analysis and reporting.
• Ability to work independently with minimal supervision and drive tasks to closure.
• Self-motivated, detail-oriented, and willing to take on technical challenges.
• Strong problem-solving, analytical, and communication skills.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous, with a genuine passion for technology? We want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 60,000 USD - 101,200 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 10, 2026.
This posting is for an existing vacancy.
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.
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Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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