Data Analysis & Reliability Engineer (Contractor)
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. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.
This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.
For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.
This strategic focus is a reflection of our core values:
Staying customer-centric,
Inspiring dedication,
Persevering,
Growing by reflection.
Huawei Research and Development UK Limited Overview
Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.
Job Summary
We are seeking a highly motivated Data Analysis & Reliability Engineer to support the development, characterization, qualification, and optimization of next-generation III-V semiconductor photonic devices and optoelectronic components. The successful candidate will be responsible for evaluating device performance, conducting reliability assessments, analyzing complex test data, and identifying opportunities to improve device design, process robustness, and product quality. Working closely with design, process, test, and manufacturing teams, the role combines device characterization, reliability engineering, failure analysis, and data-driven problem solving to support both technology development and product qualification activities
Key Responsibilities:
Develop and execute device performance analysis and reliability qualification plans for III-V semiconductor photonic devices and optoelectronic components.
Analyze electrical, optical, thermal, and reliability test data to evaluate device performance, identify trends and anomalies, assess reliability risks, and support product development activities.
Perform failure analysis and root cause investigations on device performance, reliability, and quality issues, driving corrective and preventive actions with cross-functional engineering teams.
Develop and apply statistical analysis, automated data processing tools, and predictive models to improve understanding of device behavior, reliability performance, and process variation.
Collaborate with design, process, test, and manufacturing teams to optimize device performance, improve reliability, and support new product introduction and technology transfer activities.
Prepare technical reports, communicate findings and recommendations to stakeholders, and contribute to continuous improvement initiatives and technical knowledge sharing.
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:
Master’s or PhD in Physics, Photonics, Electrical Engineering, Semiconductor Engineering, Data Science, or a related field.
Knowledge of III-V semiconductor optoelectronic device and laser physics.
Strong analytical and problem-solving skills, with the ability to interpret complex experimental data and perform root cause investigations.
Strong programming skills in Python/R for data analysis and automation
Proficiency with statistical analysis methods such as regression analysis, hypothesis testing, and statistical process control.
Excellent communication and teamwork skills, with the ability to collaborate effectively across multidisciplinary engineering teams. 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, testing and reliability 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 developing automated data pipelines and scalable analytics workflows.
