Test Data Analysis Engineer

3 weeks ago

Hamilton ON, Canada Renesas Electronics Corporation Full time

By using statistical analysis methods and ML/AI analysis methods such as BigData analysis of test data of semiconductor products, we can extract issues hidden in the production process to improve yield and test efficiency.

  • Technical area: Data analysis algorithm development
  • Target Products: R-Car/RH850 and other in-vehicle products in general
  • Project description: Development of applications and dashboards on test data analysis systems/infrastructure
  • Responsible for: Planning, proposal, requirement definition, development, evaluation, release, user support, etc. for the above

*The full details regarding your position scope as well as any future potential changes in work location and job scope will be provided during the interview process.

Qualifications

  • Experience (2-3 years) in developing data analysis systems (database + algorithms + graphing) using BigData analysis methods
  • Coding skills related to visualization technology (data visualization)
  • Presentation skills (ability to communicate proposals to others in an appropriate and logical manner)
  • Basic knowledge of semiconductors and their testing methods
Company Description

Wafer prices for advanced processes are high, and the cost impact of manufacturing yield is very large.
To improve yield, it is important to investigate the root causes of failures and improve manufacturing processes and mass production testing.
Renesas identifies factors based on test data through advanced data analysis that combines manufacturing process, design information, and mass production test environment, and then uses software failure diagnosis and hard wafer analysis to investigate the root cause, leading to yield improvement.
However, the level of difficulty in analyzing cutting-edge processes (3nm) is increasing, so we will strengthen our human resources for the development of advanced data analysis technology.

Additional Information

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