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

Deep Learning Engineer

Deep Learning Engineer

Sports Biomechanics Data Scientist

Audio Machine Learning Research Co-op

Senior Data 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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.