Job Information
Nvidia Senior Reliability Engineer in Santa Clara, California
For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of innovative visual computing - the field has expanded to encompass personal computer games, movie production, product design, artificial intelligence, medical diagnosis and scientific research. Today, visual computing is becoming increasingly central to how people interact with technology, and there has never been a more exciting time to join our team. NVIDIA is now passionate about innovation at the intersection of visual processing, high performance computing, and artificial intelligence.
Beside being a leader in AI, NVIDIA has entered the Automotive graphics' segment with GPUs since 2006. Since then, we have increased our product offerings to include complete graphics support for customer navigation and instrument clusters. It is an exciting time for the auto industry, as the car is becoming a connected system, and graphics and computing power is redefining the automobile. NVIDIA is at the forefront, providing high-end to mid-level performance solutions for these meaningful changes in automotive industry, We are now looking for a Senior Reliability Engineer. The position is an individual contributor role, working with the cross-functioning parties. Below are the required key responsibilities of the position.
What you'll be doing:
Plan and implement the qualifications of new NVIDIA products. These include IC chips in AI, Mobile, Automotive, Deep learning, Graphic Processor, and System on Chip sectors. These devices are assembled in either FCBGA, or COWOS, or Multi-Chip Module package. Majority of NVIDIA new products today are made of Fin-FET technologies.
Investigate and analyze failures and failure mechanism, analyze data and develop failure models. Drive corrective and preventive actions and project field failures. To effectively handling these tasks, the engineer must have skills in mathematical analysis and reliability modellings to improve product quality and reliability stress-effectiveness.
Participate in assessment of reliability test requirements for non-conforming materials; and maintain and improve reliability database.
Have ability to communicate clearly and produce product reliability qualification reports and presentations.
What we need to see:
Firm technical background in wafer fab, and Flip Chip BGA and COWOS packaging technologies.
You are equipped with knowledge of CMOS devices physics, and familiar with reliability statistics, and models.
Familiar with industry standards (like JEDEC, IPC, AEC-Q100)
Proficient in reliability data analysis tool such as JMP, Weibull++ and/or Minitab
8+ years of experience in IC reliability
BS or higher degree in Electrical Engineering, Physics, Material Sciences or equivalent experience. MS or PhD. in EE is preferable.
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.
The base salary range is 136,000 USD - 258,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis.
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.
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NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.
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