Data-Driven Yield & Product Engineer

Fractile Ltd.

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Equity ownership
Private medical, dental and vision
Pension and life/critical illness

Job summary

Fractile Ltd. is seeking a hands-on Engineer to develop and manufacture silicon products, focusing on product, yield and manufacturing data analysis.

You will work across NPI, Yield Engineering and Product Quality, analyzing large semiconductor datasets to identify trends, isolate variation sources and provide clear technical insight to engineering teams and partners. The role involves investigating complex technical problems, turning analysis into actionable conclusions, and travel worldwide as

Qualifications

  • Experience in semiconductor data analysis to identify trends, correlations and yield loss mechanisms.
  • Strong data mining and statistical analysis skills with ability to translate datasets into engineering conclusions.
  • Hands-on use of data analysis tools in a manufacturing environment.

Responsibilities

  • Analyze large and complex semiconductor datasets across NPI, Yield, and Product Quality teams.
  • Identify trends, sources of variation and opportunities for yield improvement.
  • Develop automated analyses, dashboards and repeatable workflows for investigations and reporting.

Skills

Semiconductor data analytics
Yield engineering
Statistical analysis
Data mining
Python

Education

Bachelor's in Electronics/Engineering/Physics

Tools

yieldHUB
Spotfire
JMP

Job description

Fractile Ltd. is seeking a hands-on Engineer to develop and manufacture silicon products, focusing on product, yield and manufacturing data analysis.

You will work across NPI, Yield Engineering and Product Quality, analyzing large semiconductor datasets to identify trends, isolate variation sources and provide clear technical insight to engineering teams and partners. The role involves investigating complex technical problems, turning analysis into actionable conclusions, and travel worldwide as

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