Firmware Engineer

WithYouWithMe
Luton
6 months ago
Applications closed

Related Jobs

View all jobs

Junior Firmware Engineer

Systems Engineer

Electronics Engineer

Embedded Software Engineer

Electronic Design Engineer

Senior IT Engineer

Would you like to deliver the complex Firmware that forms part of self-protection systems installed on fast jet, UAV, land and naval platforms for one of the United Kingdom's leading aerospace and defence organisations?


Hit Apply below to send your application for consideration Ensure that your CV is up to date, and that you have read the job specs first.

As a Firmware engineer you will work with the support of experts in their field, using world-class facilities to deliver Firmware for complex digital systems that meet challenging future customer requirements. Your role may even take you across the UK or abroad for technical reviews. You will use or develop team leadership skills to support the delivery of work from several engineers. Your expertise will also be key to enhance processes and ways of working across UK-wide FPGA/Firmware delivery teams.

Candidates will benefit from having coding skills and knowledge, but full training will be provided to successful applicants.

Organisation:Leading Aerospace, Defence and Security company

Location:Luton

Previous experience:Not required, but preferred

Salary:£40,000

Must-haves

  1. At least 5 years of UK residency
  2. Ability to achieve full SC security clearance

Experience

Not required, but preferred knowledge/skills in the following:

  1. Team leadership
  2. Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM
  3. FPGA architectures such as Xilinx 7. Xilinx UltraScale; Intel (Altera) or Microsemi (Actel)
  4. Fast interfaces such as PCIe, Ethernet, and JESD is also required
  5. Auto-generated code using model driven engineering using Matlab and Simulink tools
  6. Derivation of detailed FPGA/Firmware requirements and architecture from system requirements
  7. A structured approach to FPGA/firmware design (RTCA DO-254 or similar)
  8. Cryptography and anti-tamper techniques
  9. Artificial Intelligence including machine learning and genetic algorithms
  10. Electronics test methods and equipment
  11. Good verbal and written communication skills
  12. Working in mixed discipline teams 

For more information about this role or to apply directly, please email .

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.