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).
You will be working with the best engineers in the field! In an exciting, fast-paste and challenging work environment. Learning new things every day and helping improve NVIDIA's network products!
We look forward to expanding our team ahead of the phenomenal technological developments coming our way.
What We Need to See:
We seek out 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, high ability to identify trends, patterns, and insights from data.
Candidates should be adept at queries, report writing and presenting findings, and be comfortable with data reporting & visualization tools such as PowerBI
5+ years' experience in handling large data sets and relational database as well as experience with reporting packages, databases, programming, knowledge of statistics and experience using statistical packages for analyzing datasets (JMP, Excel etc).
We are looking for candidates able 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 is an advantage
Experience with AI models as well as experience with UltraFlex 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.
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.
Top Skills
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.”
