Senior Failure Analysis Engineer

Reposted Yesterday
Be an Early Applicant
Santa Clara, CA
In-Office
160K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the development of Chip-Debug and Fault-Isolation techniques, focusing on Optical Fault Isolation and Scanning X-Ray technologies, while collaborating with various teams to enhance workflows and tool capabilities.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a highly skilled and motivated FA engineer to join us. You will play a leading role developing Chip-Debug and Fault-Isolation via Optical-Fault-Isolation and emerging techniques like scanning-focused-X-ray (XADA). This will include experimentation, guiding development of custom supporting HW, workflow development, and training of other users. You will be embedded in the Logic-Fault-Isolation group and work closely with our test HW group, mechanical design and tool vendors.

What You’ll Be Doing:

  • Lead the enablement of XADA and existing NIR and Thermal OFI tools for future technology nodes based on experimentation with different test-chips and existing products, to get ready for future product support.

  • You will need to understand our optical FI workflow and work with our PFA team to guide sample-preparation development.

  • Your responsibilities will include workflow development, user training and collaboration with the XADA tool vendors, driving SW & HW improvements and new feature development.

  • Additionally, you will work with nvidia internal HW designers and external vendors regarding development of suitable test- and cooling-HW.

What We Need To See:

  • Master's degree or higher in Electrical Engineering, Microelectronics, Physics, or a related field (or equivalent experience).

  • Minimum of 12 years of experience in FA, at best with hand-on experience in technique enablement and development of supporting HW for Fault-Isolation.

  • Knowledge of failure analysis techniques and methodologies.

  • Basic understanding of scan-chain based test (DFT) and some experience in operation Automated Test Equipment (at best on Advantest 93k and/or Teradyne UFP).

  • Strong understanding of semiconductor device physics, IC design, and fabrication processes.

  • Experience with EDA (Electronic Design Automation) tools and layout editing software.

  • Strong problem-solving skills with the ability to diagnose and resolve complex circuit issues.

Ways To Stand Out From The Crowd:

  • Excellent written and verbal communication skills, with the ability to effectively collaborate with multi-functional teams.

  • Ability to work effectively in a team-oriented environment, as well as independently when necessary.

  • Experience in advanced technology nodes (e.g. 2nm or below).

  • Familiarity with scripting languages for automation of processes/workflows.

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 forward-thinking and hardworking people on the planet working for us. If you're 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 168,000 USD - 264,500 USD for Level 5, and 200,000 USD - 322,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

Top Skills

Automated Test Equipment
Circuit Design Software
Eda Tools
Optical Fault Isolation
Scanning Focused X-Ray
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

Similar Jobs

Figure.ai Logo Figure.ai

Senior Hardware Failure Analysis Engineer

Artificial Intelligence • Robotics • Automation • Manufacturing
Easy Apply
In-Office
San Jose, CA, USA
86 Employees

Snap Inc. Logo Snap Inc.

Machine Learning Engineer

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
5 Locations
5000 Employees
235K-414K Annually

Snap Inc. Logo Snap Inc.

Machine Learning Engineer

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
5 Locations
5000 Employees
235K-414K Annually

Snap Inc. Logo Snap Inc.

Scientist

Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Hybrid
2 Locations
5000 Employees
147K-259K Annually

Similar Companies Hiring

Milestone Systems Thumbnail
Software • Security • Other • Big Data Analytics • Artificial Intelligence • Analytics
Lake Oswego, OR
1500 Employees
Idler Thumbnail
Artificial Intelligence
San Francisco, California
6 Employees
Fairly Even Thumbnail
Software • Sales • Robotics • Other • Hospitality • Hardware
New York, NY

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account