Senior IC Product Engineer

1 Month ago • 5 Years + • Data Analyst

Job Summary

Job Description

NVIDIA Networking seeks a Senior IC Product Engineer to lead mass production engineering and data analysis for networking ICs. Responsibilities include defining pass/fail criteria for silicon screening, resolving multi-disciplinary issues, implementing cost reductions and quality enhancements through data analysis and AI tools, and collaborating with vendors and internal teams. The ideal candidate possesses strong analytical skills, experience with large datasets and relational databases, and proficiency in data visualization tools. Experience in semiconductor manufacturing and IC product engineering is required.
Must have:
  • 5+ years relevant experience
  • Manufacturing environment experience
  • Excellent analytical skills
  • Data analysis & visualization proficiency
  • Multi-tasking & problem-solving abilities
Good to have:
  • Semiconductor industry experience
  • Big data/yield analysis experience
  • Optics experience
  • AI model experience
  • Experience with UltraFlex or other IC test systems
  • SQL, Oracle, R, MATLAB, or Python programming skills

Job Details

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

  • 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 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.

  • Knowledge of programming languages like SQL, Oracle, R, MATLAB, and Python.

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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