Experienced Embedded Software Engineer

Bermondsey Electronics Ltd.
London
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Electronics Engineer

Senior Backend Software Developer

Robotics Control Engineer, Amazon Robotics

Desk Data Scientist (Crude)

Software Controls Engineer

Senior Electronic Design Engineer

Bermondsey Electronics is a contract electronics development company looking for an embedded software developer to expand the team. The successful applicant will work on a wide variety of systems, with different targets and design goals, based from the office in Bermondsey.


Last year we worked on projects in fitness, audio, the Android platform, wearables, IoT, medical treatment and sports broadcast. ARM (Cortex-M and -A) is the main target. We work on new technologies like AI IoT devices with TensorFlow Lite Micro for neural networks. We have some work in quality controlled industries, like medical and intrinsic safety (SIL / IEC61508 / ISO13485). Not all work is in those industries, however. Many clients value a working prototype over a polished product. Still, there is a requirement for documentation of all projects.


The work is mostly (95%+) software development. Because the business is growing, a new embedded software developer is needed.


This role is best suited to a developer keen to work in a range of emerging technologies. Often clients want something on the cutting edge. This means engaging with new technologies quickly, identifying pain points early and planning to meet these challenges. Clients value responsiveness, accuracy of estimation and on time delivery. Demonstrating these skills at interview will be key to landing this role. The interview process requires an on site assessment.


If you thrive in responsive, hands-on work and enjoy solving difficult problems efficiently, this could be the right role for you!


Candidatesmustbe eligible to work in the UK. No exceptions.


Candidates must know embedded C programming and any one of the following:

  • Embedded Linux e.g. Yocto or Buildroot
  • Python
  • Android build system
  • Networking and communication protocols
  • ISO13485 / IEC61508 experience

The ideal candidate will also have some familiarity with:

  • Embedded OS use
  • Low power optimisation
  • Rudimentary assembly language
  • Makefiles
  • Basic soldering
  • Unit testing


36 hours of full time effort are expected every week. Remote working is offered, although 2 days per week on site are required. Flexitime is offered as standard, although all hours must be accountable. 25 days' vacation are offered, growing with tenure.


Job Types: Full-time, Permanent

Pay: £50,000.00 per year


Benefits:

  • Flexitime
  • Sick pay
  • Work from home

 

Schedule:

  • 8 hour shift
  • Flexitime
  • Overtime

 

Education:

 

  • Diploma of Higher Education (preferred)

 

Experience:

 

  • C Programming: 1 year (preferred)
  • software engineering: 1 year (required)

 

Work authorisation:

 

  • United Kingdom (required)

 

Work Location: Hybrid remote in London SE16 with 2 days per week on site in Bermondsey.

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 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.