Simulation and Optimisation 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. 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 helps 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’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: At HUAWEI UK R&D we design and develop a range of active and passive components in III-V semiconductors and on silicon photonics platforms. To expand our world leading design capability, we are looking for a software and simulation engineer with experience in machine learning and artificial intelligence techniques. The role will be working in the design team alongside our device design experts using a range of tools and techniques. This role will span from model building through full simulation automation and optimization. The role will require extensive knowledge of a range of machine learning techniques including multi-parameter optimization and inverse design. Automation of test data analysis and correlation to design variants is also necessary to re-calibrate and refine the models.

Key Responsibilities:

• Communicate with device design experts to understand simulation workflows and the goals and limitations to existing methods or tools.
• Implement machine learning techniques to automate these simulation needs.
• Ownership of software tools, maintain control and carry out improvement of this code and provide a user interface for device designers.
• Delivering literature review of state of the art and progress reports on the tools developed.
• Training of other design team members and providing documentation on use of the simulation tools.
• Collaborate with colleagues in Design, Fabrication, and Test departments to gather data and ensure experimental verification.
• Design experiments to assess the limitations of e.g. process tolerances by correlating initial models to experimental data and evolve physics aware models.

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:

• A PhD in Computing Science, Physics, Electrical or Electronic Engineering, or a related engineering discipline.
• Deep knowledge and implementation of machine learning with examples of collaborative working.
• Exceptional skills in data analysis, along with outstanding presentation and communication abilities. Report writing enabling clear and impactful dissemination of complex information.
• Experienced in Python or similar programming languages for efficient simulation, automation and data analysis.
• Ability to build, document and deploy modelling and simulation tools.
• Ability to work independently, manage time and record allocation on multiple projects.

Desired:

• A track record of publication and active participation in conferences, complemented by strong public speaking skills, reflecting an ability to share insights and results with the wider community.
• Active and passive photonic design experience for waveguides, lasers, modulators, couplers etc.
• Ability to work as a team and communicate with different job functions.
• Experience over 5 years in industry or academia, focusing on machine learning in simulation and data analysis.
• Ability to harvest technical ideas and input from journals, conferences and code resources.

What we offer:

• 33 days annual leave entitlement per year (including UK public holidays).
• Group Personal Pension.
• Life insurance.
• Private medical insurance.
• Medical expense claim scheme.
• Employee Assistance Program.
• Cycle to work scheme.
• Company sports club and social events.
• Additional time off for learning and development.