Device Simulation and Design Engineer

Ipswich

2 months ago

Applications closed

Related Jobs

View all jobs

Research Assistant/Associate in Embedded Machine Learning Systems

Data Scientist - £44,825 p.a. + benefits

Control & Machine Learning Engineer

Senior Machine Learning Engineer

Data Engineer

Machine Learning Engineer

Device Simulation and Design Engineer
Ipswich
£70,000 per annum

A global technology leader is expanding their R&D capability and seeking a Device Simulation and Design Engineer to join their team in Ipswich. This is a brand-new opportunity to shape and develop next-generation III-V photonic devices through cutting-edge simulation, design, and automation techniques.

As part of a world-class team of engineers, you'll develop and refine optical simulation tools, create scalable and automated design flows, and use your deep understanding of optoelectronic device physics to deliver high-performance components ready for fabrication and experimental testing.

Key Responsibilities

Develop advanced simulation tools for III-V photonic devices using techniques including FDTD, FEM, machine learning, and inverse design.
Contribute to the design and development of both active and passive components.
Automate simulation workflows and data analysis to optimise design iterations.
Benchmark, document, and deliver tools for internal use across design teams.
Collaborate with fabrication and test teams to ensure seamless end-to-end development.
Analyse experimental test results to calibrate and improve model accuracy.
Produce technical reports and present findings to stakeholders. About You

You'll bring a proven background in optoelectronic design, a passion for innovation, and a collaborative mindset.

Essential:

PhD in Physics, Electronic Engineering, or a related field.
Minimum 5 years' experience in photonics, with strong III-V device simulation expertise.
Hands-on knowledge of tools such as COMSOL, VPI, FDTD, FEM, and multiphysics simulation environments.
Proficient in Python or similar for automation, modelling and analysis.
Experience with machine learning or inverse design methods.
Strong data analysis and communication skills, including technical reporting.Desirable:

Familiarity with characterisation and test of photonic devices.
Experience in the design of lasers, modulators, waveguides and couplers.
A track record of publications or conference participation. Benefits

Up to 33 days annual leave including public holidays
Company pension scheme
Private medical insurance and healthcare support
Life assurance
Employee assistance programme
Cycle to work scheme
Professional development time and support
Regular company events and team activities

If you're ready to influence the future of optoelectronic design, please click "Apply Now

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jul 2, 2025

Careers

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Jun 29, 2025

Jobs

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Jun 24, 2025

Careers Jobs

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.