Photonics Data & Reliability Engineer

Huawei; Ipswich; On-site; GBP 60,000 - 90,000; Full time

Job summary

Huawei UK is seeking a Data Analysis & Reliability Engineer to support development, characterization, qualification, and optimization of next‑generation III‑V photonic devices and optoelectronic components. You will analyze test data, perform reliability assessments, and drive data‑driven improvements across design, process, test and manufacturing teams.

The role combines device characterization, failure analysis, and statistical modeling to support technology development and product

Qualifications

• Master's or PhD in Physics, Photonics, Electrical Engineering, Semiconductor Engineering, Data Science or related field.
• Strong analytical and problem-solving abilities with the capacity to interpret complex data.
• Proficiency in Python/R for data analysis and automation; experience with statistical methods.

Responsibilities

• Analyze electrical, optical, thermal, and reliability data to evaluate device performance and trends.
• Perform failure analysis, root-cause investigations, and drive corrective actions with cross-functional teams.
• Develop automated data pipelines and predictive models to understand device behavior and variability.
• Collaborate with design, process, test, and manufacturing teams to optimize performance and reliability.
• Prepare technical reports and communicate findings to stakeholders for continuous improvement.

Skills

Python

R

Data analysis

Automation

Statistics

Education

Master's or PhD in Physics

Photonic

Electrical Engineering

Semiconductor Engineering

Data Science

Job description

Huawei UK is seeking a Data Analysis & Reliability Engineer to support development, characterization, qualification, and optimization of next‑generation III‑V photonic devices and optoelectronic components. You will analyze test data, perform reliability assessments, and drive data‑driven improvements across design, process, test and manufacturing teams.

The role combines device characterization, failure analysis, and statistical modeling to support technology development and product