Semiconductor R&D Yield Analysis Engineer in Ipswich

About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world. Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world.

Job Summary

We are seeking a Semiconductor R&D yield analysis Engineer to support the development and optimization of next generation semiconductor photonic devices. This role requires a deep understanding of III-V semiconductor photonics device physics and process, strong problem-solving skills, and a passion for continuous improvement. You will work closely with cross-functional teams to transform large-scale experimental and fabrication data into actionable insights that contribute to improve R&D related design modelling, performance, process optimization and reliability. The role offers an exciting opportunity to contribute to cutting‑edge developments in semiconductor photonics and integrated optical technologies.

Key Responsibility

• Analyse design simulations, semiconductor fabrication, and testing processes to identify performance characterisations, trends, correlations, and anomalies in performance.
• Develop and apply statistical analysis and machine learning models to improve device performance, yield, and reliability.
• Build automated data analysis tools and workflows using Python, R, or MATLAB.
• Perform data-driven and conduct electrical and physical failure analysis specific to R&D yield loss.
• Generate clear reports to support R&D engineering and management decision‑making.
• Collaborate with project stakeholders including design engineers, process engineers, test teams and project manager to understand data requirements, help optimise iterations.
• Stay current with industry trends and integrate new technologies and methodologies to improve R&D yield performance.
• Proactively learn new software, algorithms, and techniques to stay competitive and improve work processes.
• Interact with customers and collaborate closely with HQ to ensure effective communication, strong cross‑functional collaboration, alignment on customer needs, and high levels of customer satisfaction.

This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.

Person Specification:

Required:

• PhD in Physics, Photonics, Electrical Engineering, Semiconductor Engineering, Data Science, or a related field.
• In-depth knowledge of III-V semiconductor optoelectronic device and laser physics.
• Strong programming skills in Python/R for data analysis and automation.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, Pytorch or Keras.
• Experience with MATLAB for more advanced data analysis and simulations.
• Knowledge of SQL to query databases for extracting relevant data.
• Proficiency with statistical analysis methods such as regression analysis, hypothesis testing, and statistical process control.
• Strong analytical and problem‑solving skills with the ability to interpret complex datasets.
• Flexible attitude to working hours.

Desired:

• Academic and/or Industry experience in III-V semiconductor optoelectronic device.
• In-depth knowledge and experience of fabricating process and testing of III-V optoelectronic devices and components.
• In-depth knowledge of device optical and electronic characterization techniques and ability to perform semiconductor failure analysis to identify root causes of defect and improve product quality.
• Experience with big data tools such as Hadoop or Spark.
• Experience developing automated data pipelines and scalable analytics workflows.
• Multilingual skills are an advantage, along with the flexibility to work across different time zones.