Senior RF Design Engineer

ic resources
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Research Scientist: Data Science and Machine Learning AIP

Data Scientist

Director, Data Science - Measurement & Optimization

Senior Data Scientist Research Engineer

Senior Data Scientist Research Engineer

Senior Data Scientist (GenAI)

We are working with a leading sports technology company dedicated to tackling challenging issues in elite sports through cutting-edge technology. They are currently seeking an experienced Senior RF Design Engineer to play a key role in developing their state-of-the-art UWB locating system for sports applications. The role also involves maintaining and enhancing the RF components of their existing product range. The ideal candidate should possess extensive experience in the consumer/embedded electronics industry, having successfully led the RF aspects of multiple hardware products from development to production and market launch.

Joining their talented, interdisciplinary engineering team, which includes experts in electronics, software development (ranging from embedded to web frontend), mechanical design, and data science, you'll have the chance to thrive in a highly motivating startup environment. You'll make a significant impact on their world-class customers by solving complex technical challenges. This position offers a unique opportunity for a technical expert to be a major stakeholder in the architecture, design, and validation of our ambitious systems, while maintaining hands-on involvement in RF design.

Responsibilities as a Senior RF Design Engineer:

Lead the RF design and architecture for both existing and upcoming products. Hands-on implementation and validation of RF front-end and antenna integrations, conducting tests in the lab and field to optimize system performance within its environment. Efficiently collaborate with other members of the hardware team.

Technical Skills as a Senior RF Design Engineer:
Proficiency in implementing and configuring software-controlled digital-input RF transceivers, such as WiFi and Bluetooth. Ideally, experience with UWB transceivers. RF front-end design and measurements expertise up to 10 GHz. Antenna selection, integration, and design for embedded products. Proven experience in Digital and Analog Electronics design, preferably with a focus on battery-powered applications. Familiarity with certification processes, including CE, UKCA, and FCC. Comfortable using eCAD tools for Schematics and Layout (preferably Altium). Personal Qualities:
Thrive in a fast-paced startup environment. Hands-on approach to problem-solving. Excellent communication skills. Attention to detail. Interest in current sports trends and analytics. Reporting to:

Electronics Engineering Team Lead

Location:

The position will be primarily based at their main office in London, for at least four days a week. Occasional travel to external test houses will be required.

If you’re interested in this position as a Senior RF Design Engineer, please contact Zac Taylor.

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.