Semiconductor Yield Analytics Engineer - Photonics R&D

Huawei Technologies Research & Development (UK) Ltd

Ipswich

On-site

GBP 65,000 - 90,000

Full time

6 days ago
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Job summary

Huawei Research and Development UK Limited in Ipswich is seeking a Semiconductor R&D yield analysis Engineer to support development and optimization of next generation photonic devices. You will transform large-scale experimental and fabrication data into actionable insights to improve design modelling, performance and reliability.

You will work with cross-functional teams, apply statistics and machine learning, and build automated data pipelines using Python, R and MATLAB.

Qualifications

  • PhD in a relevant field with strong experimental and data analysis background.
  • Proficient in Python/R for data processing and automation.
  • Experience with MATLAB and SQL for data extraction and analysis.

Responsibilities

  • Analyse design simulations, fabrication and testing to identify performance trends and anomalies.
  • Develop ML models to improve device yield and reliability.
  • Build automated data analysis workflows using Python, R or MATLAB.
  • Perform data-driven electrical and physical failure analysis for R&D yield loss.
  • Generate reports to support R&D engineering decisions.
  • Collaborate with design, process, test teams and project managers.
  • Stay current with industry trends and integrate new technologies.

Skills

Python/R
Machine learning
SQL
MATLAB
Statistical analysis
Data visualization

Education

PhD in Physics/Photonics/EE/Semiconductor/Data Science

Tools

Hadoop
Spark

Job description

Huawei Research and Development UK Limited in Ipswich is seeking a Semiconductor R&D yield analysis Engineer to support development and optimization of next generation photonic devices. You will transform large-scale experimental and fabrication data into actionable insights to improve design modelling, performance and reliability.

You will work with cross-functional teams, apply statistics and machine learning, and build automated data pipelines using Python, R and MATLAB.

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