Nvidia Senior System Reliability Engineer 

United States, California 

78412571

sparked the growth of the PC gaming market, redefined modern computer graphics, andrevolutionized parallel computing — with the GPU acting as the brains of computers, robots, andindustry. As the computational power increases with every GPU generation, developing efficientrange specifically Graphics and High-Performance Computing printed circuit boards and DataCenter Servers.

What you'll be doing:

• Provide expertise in Hardware Reliability Engineering for Electronics/Server Systems(graphics cards, server, rack, cluster) from Concept to End-of-Life phase.

• Establish, deliver and maintain product reliability standards and metrics for NVIDIA'snew system technologies, using existing tools and processes or developing new asrequired.

• Participate in product and engineering design reviews, assess the reliability budget ofproducts/designs, and inspire changes that enhance product reliability.

• Interface and interact with all pertinent engineering groups, suppliers, and partnersensuring the desired reliability is achieved using Design for Reliability (DfR) methodsincluding FMEA and DoE approaches.

• Define and implement Reliability Plans & Specifications.

• Provide reliability predictions, along with test plans and methods to access and driveproduct reliability to the desired levels.

• Perform and lead appropriate testing with associated failure analysis andrecommendations for improving designs and manufacturing.

• Develop and present methods of correlating reliability test results with actual field

What we need to see:

• BS (or equivalent experience) in Engineering, Material Science, Physics, or a related field, MS or PhD preferred.

• 6+ years in a hardwarevalidation/reliabilityenvironment related to PCIE peripherals, graphics cards and servers.

• Understand power supply, memory, high speed I/O, PCI express, Ethernet and I2C.

• Hands-on experience in theoretical and practical Reliability concepts as it relates to high-tech electronic enterprise and consumer products.

• Have a strong command and understanding of statisticalconcepts/models/analysisand how they relate to product reliability & life analysis.

• Good verbal and writing skills as well as the ability to communicate at a high level.

• Self-motivating, independent, and committed to getting things done.

• Good project management skills and ability to balance multiple simultaneous projects during development and production stages.