About the Role

NVIDIA Networking is looking for an IC senior Product Engineer (PE) to take ownership of NVIDIA Networking IC mass production engineering and data analysis, and to take part of IC Network Production, Reliability, Validation and Characterization group. You will be a part of a team working on groundbreaking technology. We are in need of hardworking and motivated engineers. Do you have passion for data analysis, post-Si hand on work and problem solving? We will be happy to have you on our team!

What You'll Be Doing

• Lead multiple networking ICs' products engineering activities, which will include making real time decisions on quality of silicon, define pass/fail criteria for screening, solve multi-disciplinary problems and perform cost reduction and quality enhancement, by sophisticated data analysis, AI tools and deep understanding of testing and HW
• Collaborate closely with both vendors (test houses and fab) and internal engineering teams (operations, IC test, reliability, characterization, package assembly and HW)
• Work with the best engineers in the field in an exciting, fast-paced and challenging work environment
• Learn new things every day and help improve NVIDIA's network products

What We Need to See

• Graduates of Electrical Engineering/Material Engineering/Physics with at least 5 years of relevant experience
• Experience working in or with a manufacturing environment
• Excellent analytical skills and high ability to identify trends, patterns, and insights from data
• Adeptness at queries, report writing and presenting findings
• Comfort with data reporting & visualization tools such as PowerBI
• 5+ years' experience in handling large data sets and relational database
• Experience with reporting packages, databases, programming
• Knowledge of statistics and experience using statistical packages for analyzing datasets (JMP, Excel etc)
• Ability to multi-task, engage with other teams members, be attentive to details, proactive and tackle problems quickly
• Workable English skills (verbal and written)

Ways to Stand Out From the Crowd

• Experience in semiconductor industry, IC PE activities
• Background in SiP devices
• Background in complex and big data/yield analysis
• Experience in optics
• Experience with AI models as well as experience with Ultra Flex or/and other IC test system
• Skilled in SQL, KQL and JSL, along with database technologies and strong Python expertise, with hands-on experience in data processing, analytics, and automation scripting

About NVIDIA

NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are 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. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.