Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Device Simulation and Design Engineer

Ipswich
6 months ago
Applications closed

Related Jobs

View all jobs

Research Associate in Physics-Informed Machine Learning for Crowd Dynamics

Sports Biomechanics Data Scientist

Data Scientist

Machine Learning Engineer

Machine Learning Engineer

Data Scientist

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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.