For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics and data centers products. With our invention of the GPU - the engine of innovative visual computing, AI, Robotics. NVIDIA is now passionate about innovation at the intersection of visual processing, high performance computing, and artificial intelligence. Join NVIDIA to work on powerful technology in a forward-thinking environment. Contribute to projects that are groundbreaking in AI and computing.What you'll be doing:As a Reliability Methodology Engineer at NVIDIA, you will be responsible for ensuring our products and systems operate flawlessly. Your key duties will include:Collaborate with design, product, and test engineering teams to apply DFT methodologies to improve reliability screening specific to HTOL (Component level Hight Temp Op. Life Test).Familiarity with DFR best practices including reliability prediction, derating, and physics of failure modeling.Developing and implementing reliability test plans and protocolsDevelop and implement DFR (DFX) strategies early in the product lifecycle to ensure long-term field reliability, especially in critical datacenter/Robotics environments.Conducting failure mode and effects analysis (FMEA) at product development stageCollaborating with cross-functional teams to determine root causes of failuresCrafting and maintaining detailed documentation of reliability tests and resultsAnalyzing data to identify trends and areas for improvementEnsuring compliance with industry standardsProviding technical support and mentorship to other departmentsWhat we need to see:A bachelor’s or higher degree in Electrical Engineering, Computer Engineering or equivalent experience. MS or PhD. in EE is preferable experience in Engineering or a related field.5+ years of experience.Proven experience in reliability engineering, preferably in the technology sector, JEDEC (e.g., JESD22, JESD47) and AEC-Q100 standardsHands-on experience in HTOL hardware developmentBackground in DFT, including techniques for enhanced screening, debugging, and stress pattern developmentStrong analytical and problem-solving skillsExcellent written and verbal communication abilitiesProficient with reliability data analysis tools (JMP/MATLAB/Python) and methodologiesWith highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technological 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 108,000 USD - 172,500 USD for Level 3, and 140,000 USD - 224,250 USD for Level 4.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until August 22, 2025.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.