Senior Electronic Design Engineer

Stewartby
2 weeks ago
Create job alert

Senior Electronic Design Engineer
Location: Stewartby, Bedfordshire (Office-based)
Job Type: Full-time, Permanent
Salary: £50,000-£70,000 + Benefits
Industry: EV Charging | Smart Technology | IoT
  
Join a cutting-edge technology company revolutionising the EV charging space.
We're recruiting on behalf of a premium UK manufacturer known for beautifully designed, intelligent charge points used in residential and workplace environments.

This is your opportunity to lead the development of next-generation smart hardware within a fast-growing, design-led business that's partnered with prestige automotive brands and shaping the future of clean transport.
  
What You'll Be Doing

Leading hardware design: digital, analogue, RF, and power electronics
Schematic capture, PCB layout, prototyping, and board bring-up
Ensuring EMC compliance and supporting product certification
Collaborating with production teams and resolving hardware issues
Creating documentation to support internal and regulatory requirements What We're Looking For

Degree in Electronic/Electrical Engineering or equivalent industry experience
Strong experience in embedded hardware and PCB design
Deep understanding of EMC compliance and lab testing (oscilloscopes, probes, etc.)
Excellent problem-solving skills and attention to technical detail
Confident communicator with a collaborative approach Desirable Experience

Proficiency with Altium Designer
Experience with STMicroelectronics, Espressif, or Atmega microcontrollers
Background in IoT or mains-powered smart product development
Familiarity with EV charging standards (Open EVSE, RAPI)
EMC by design and antenna tuning
Experience working in Agile environments Why Join?

Work on industry-leading technology in a booming EV sector
Be part of a fast-paced, design-led engineering team
Collaborate directly with senior technical leaders
Great career progression opportunities in a growing company To Apply:
Contact Lewis Phillips on either (url removed) or (phone number removed)

Related Jobs

View all jobs

Electronics Engineer

Electronics Design Engineer

Software Engineer

IoT Engineer

Security Project Manager

Principal Software Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced AI at the Edge: The Future of Decentralised Intelligence

As the modern world pushes towards instant data processing and real-time analytics, edge computing has emerged as a compelling solution. Instead of funnelling every piece of data to centralised data centres or the cloud, edge computing brings computation closer to the data source—reducing latency, lowering bandwidth costs, and enabling on-the-spot decision-making. From IoT sensors in smart cities to autonomous vehicles and remote industrial sites, the edge has quickly become a linchpin of digital transformation. Simultaneously, Artificial Intelligence (AI) has shown explosive growth, driving breakthroughs in natural language processing, computer vision, and advanced analytics. Cloud-based AI solutions have served organisations well, but in scenarios demanding ultra-low latency or local autonomy, the cloud’s round-trip time becomes a bottleneck. Hence, edge AI—embedding AI models at or near the point of data collection—promises a new wave of hyper-responsive applications and decentralised intelligence. Yet, as we continue pushing the boundaries of data volume, complexity, and speed, even advanced edge solutions sometimes struggle with the exponential computational requirements of AI. This is where quantum computing enters the picture, potentially offering new methods to tackle intractable problems in optimisation, high-dimensional data analysis, and machine learning. While quantum hardware remains in its early stages, the prospect of integrating quantum algorithms into AI workflows at the edge is generating significant excitement. In this article, we’ll explore: The current state and challenges of edge computing. A concise overview of quantum computing and why it matters. The concept of quantum-enhanced AI—especially in distributed or decentralised environments. Potential real-world applications at the intersection of quantum, AI, and edge computing. Key job roles and skill sets emerging in this new frontier. Considerations around security, ethics, and hardware constraints as we move towards quantum solutions at the edge. If you’re a professional in edge computing, an AI enthusiast, or simply curious about what the future of decentralised tech might look like, read on. The fusion of quantum computing and AI at the network edge could redefine how we collect, process, and learn from data in real time.

Edge Computing Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Edge computing has emerged as a revolutionary paradigm for processing data closer to where it’s generated—think IoT devices, sensors in remote locations, autonomous vehicles, and more. By reducing latency and bandwidth usage, edge computing enables real-time insights and responsive applications. In the UK, a growing ecosystem of innovators is capitalising on edge technology, buoyed by increased venture capital, academic prowess, and government-backed programmes that stimulate tech development. In this Q3 2025 Investment Tracker, we’ll explore newly funded UK start-ups blazing a trail in edge computing. We’ll also highlight the wealth of job opportunities these investments create for software engineers, DevOps specialists, data scientists, and other tech professionals looking to carve out a career at the cutting edge—pun fully intended.

Portfolio Projects That Get You Hired for Edge Computing Jobs (With Real GitHub Examples)

Edge computing is transforming how data is collected, processed, and acted upon—often in real time and close to where data is generated. From Internet of Things (IoT) devices to 5G networks and industrial automation, edge computing unlocks new possibilities for low-latency analytics, intelligent decision-making, and resource optimisation. With the proliferation of edge devices and the need for distributed computing architectures, demand for skilled edge computing professionals continues to rise. If you want to stand out in this exciting field, you need more than a great CV: you need a well-curated portfolio demonstrating your hands-on capabilities. This guide will show you how to build that portfolio, including: Why a dedicated edge computing portfolio is crucial. How to choose projects aligned with your target edge roles. Real GitHub examples that illustrate best practices. Actionable project ideas for edge deployments and data processing. Tips on presenting your portfolio so recruiters and hiring managers see your value instantly. When you’re ready, don’t forget to upload your CV on EdgeComputingJobs.co.uk so potential employers can find your newly polished portfolio. Let’s dive in!