Embedded Systems Software Engineer - Sensors

Senior Embedded Systems Software Engineer | Sensor technology

Join a team and shape the future of sensing!

An Industry-leading Semiconductor company is developing cutting‑edge sensor technologies for a wide range of applications, from smartphones and automotive systems to IoT devices, smartwatches, and beyond.

This exciting role offers the chance to work with the latest sensor innovations, impacting how we interact with technology every day. You'll be involved in the entire product lifecycle, from early R&D to commercial deployment, collaborating with a talented team of systems, software, and integration/test engineers.

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• Implement sensor signal processing and Machine Learning (ML) algorithms across various embedded System-on-Chips (SOCs).
  
• Debug, verify, and optimise C code for algorithms initially developed in MATLAB/Python, paying critical attention to performance, memory, power, and complexity trade‑offs.
  
• Assist with the deployment of algorithms and provide support to other development and testing teams.
  
• Prototype new solutions on reference hardware platforms.
  
• Document implementation flows and software architecture designs.
  
• Participate in a broad range of sensors systems engineering activities within the Sensors Technologies group.
  

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• At least 3+ years of embedded software development experience, specifically implementing digital signal processing and machine learning algorithms in C/C++.
  
• Proficiency in C with the ability to implement MATLAB‑coded algorithms in C (including a solid understanding of fixed‑point implementation and quantization for ML models).
  
• Familiarity with RTOS and multi‑threaded programming environments.
  
• Working knowledge of Python and MATLAB for algorithm development and testing.
  
• An understanding of the operation of common sensors like accelerometers, gyroscopes, and magnetometers.
  
• Detail‑oriented with excellent written, verbal, and presentation skills.
  

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• Hands‑on experience with ML frameworks such as PyTorch and TensorFlow.
  
• Experience with balancing engineering considerations like performance, memory, power, and complexity.
  

In addition to working in an open, relaxed, and collaborative space, you will enjoy a comprehensive benefits package, including:

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• Financial Security: Salary, stock, and performance‑related bonus, Employee Stock Purchase Scheme, and Matching Pension Scheme.
  
• Health & Well‑being: Life, Medical, Income, and Travel Insurance, plus subsidised memberships for physical and mental well‑being.
  
• Work/Life Support: Enhanced Maternity/Paternity Leave, Education Assistance, Relocation and immigration support (if required), and a Bicycle Purchase Scheme.
  
• Community: Access to various employee‑run clubs (running, football, chess, badminton, and more).
  

Interested? xcfaprz Apply directly through LinkedIn, or send your CV to

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