Senior Firmware Engineer

Camlin Group
Lisburn
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Scientist

Senior Data Engineer

Senior Data Analyst

Camlin is a global technology leader that operates with the vision of bringing revolutionary products to life for a wide range of industries, including power and rail, and also has interests in a number of R&D projects in a variety of scientific sectors.

At Camlin we believe in high quality engineering and design, allowing us to develop market leading products and services. In short, we love creating value for our customers by solving difficult problems. As of today, the Camlin operation spans over 20 countries across the globe.

Role Description:

The Senior Firmware Engineer in the Real-Time Applications unit is a key contributor responsible for designing, developing, and optimizing cutting-edge solutions usingDSP, FPGAandMicrocontrollertechnologies. The Senior FW Engineer also provides technical guidance, supporting junior and mid-level engineers, and ensures the system meets performance.

Role Responsibilities:

  • Design and implement real-time systems, including DSP algorithms, FPGA architectures, and microcontroller firmware, tailored to project requirements.
  • Ensure software meets strict real-time performance constraints, focusing on latency, throughput, and efficient use of system resources (e.g., memory, processing power).
  • Lead efforts in hardware/software integration to ensure seamless operation of real-time solutions.
  • Optimize performance and efficiency of signal processing algorithms and embedded systems.
  • Mentor junior and mid-level engineers, providing technical guidance, best practices, and support for skill development.
  • Conduct code reviews, design evaluations, and testing to uphold high-quality standards.
  • Investigate and resolve complex technical issues in real-time systems, ensuring reliability and robustness.
  • Debug hardware and software issues, getting to the root cause of the issue.
  • Propose innovative solutions to technical challenges.
  • Design high quality systems which comply with regulatory standards.
  • Stay updated on advancements in DSP, FPGA, and Microcontroller technologies to introduce innovative approaches to system design.
  • Identify opportunities for process improvement and contribute to the optimization of workflows, tools, and methodologies. Contribute to the creation and maintenance of comprehensive technical documentation.
  • Proven professional experience in the design, simulation, implementation, verification and validation of digital circuits on FPGA devices, DSP and Microcontroller.
  • Proven experience in programming in VHDL language and in the use of Xilinx Vivado tools.
  • Proven experience in programming in C++ and C languages.
  • Good knowledge of theory and usage of Real Time Operating Systems (FreeRTOS, Zephyr).
  • Good knowledge of theory and design of complex digital electronic circuits and digital signal processing algorithms (FFT, digital filters, re-sampling, etc.).
  • Strong analytical and problem-solving attitude.
  • Experience in the use of laboratory equipment (oscilloscope, logic analyzer, signal generators).
  • Experience with peripheral standards and communication protocols (I2C, SPI, UART, RS485, RS232, RGMII, etc.).
  • Familiarity with scripting languages (e.g., Bash, Python).
  • Proficiency in source code revision control, especially GIT.
  • Good knowledge of agile methodologies.
  • Fluent English communication skills, both written and verbal.
  • Good knowledge of SHARC or equivalent DSP architecture.
  • Good knowledge of Matlab/SysGen for simulation and implementation of DSP algorithms.
  • Good knowledge of build systems (CMake).
  • Proficiency with GitLab, Docker, CI/CD, Artifactory.
  • Experience with application layer protocols, such as DNP, 1588, MQTT, and more.
  • Knowledge of electronic components and PCB reworking.
  • Experience with TCL scripting.

Equal Employment Opportunity Statement

Individuals seeking employment at Camlin are considered without regard to race, colour, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, gender identity, or sexual orientation.

#J-18808-Ljbffr

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.