Power Electronics Engineer

Hexwired Recruitment Limited
Maldon
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist II, PLS Analytics

Product Manager III - Artificial Intelligence & Machine Learning Platform

Data Scientist III, Planning and Insights

Director, Machine Learning Science - Recommendations & Relevance

Machine Learning Scientist III

2026 Apprentice - Digital (Data Science) - Belfast

Hexwired have partnered with an exciting electronics manufacturer in Maldon who are looking to add a power electronics engineer to their R&D team. They are looking for electronics engineer with good experience with power electronics, as well analogue and digital circuit design.Key Responsibilities: * Develop circuits and subsystems to meet specifications, ensuring a reliable, cost-effective product. * Resolve technical issues swiftly across development, production, and in-service phases. * Verify designs through simulation, testing, and relevant environmental assessments. * Integrate regulatory, safety, and environmental standards into designs. * Implement design changes post-launch due to improvements, obsolescence, or new regulations.Skills and Experience: * Proficient in power electronics design: * Switching PSU and PCB design * MILSPEC digital and analog high-frequency circuit design * Transformer and high-frequency magnetic component expertise * High voltage experience (3-10kV, 500W-2kW) * Knowledge in reliability design, MTBF in electronics * Familiarity with encapsulation for harsh environments * Skilled in failure mode analysis (e.g., DfMEA, FMECA) * Competent in schematic capture, PCB layout, and design toolsThis exciting Maldon-based company are offering a prospective power electronics candidate a competitive salary dependent on experience. If this power electronics role fits your experience and expertise, apply today!For more information on this role or any other jobs across; FPGA, Mixed-Signal, Electronics, Hardware, Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today

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 Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.