London, England, United Kingdom Hybrid / WFH Options
Airbus
e.g. Microblaze or RISC-V using C/C++) **ABOUT YOU** * Experience programming Embedded Systems using C/C++ * Experience of bare-metal and embedded Linux environments * Knowledge of DigitalSignalProcessing * Knowledge of Software Defined Radio **Not a 100% match? No worries! Airbus supports your personal growth with customised development solution* s. * **HOW WE CAN SUPPORT … foundation for the Company’s success, reputation and sustainable growth. ****Company:**** AIRBUS Defence and Space Limited *Employment Type:* Permanent *Experience Level:* Professional *Job Family:* Computing&Comm and Info& Data Processing By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information More ❯
diagrams relevant to embedded systems Also of benefit would be: Familiarity with Python and C#.NET Familiarity with SQL, Azure, Jenkins and Github Familiarity with ARM cored processors Familiarity with DigitalSignalProcessing An interest in audio equipment or the audio/music industry Benefits: Hybrid way of working after probation 25 days holiday, plus bank holidays The More ❯
Ability to work with hardware debugging tools (oscilloscopes, logic analysers, JTAG/SWD). Bonus Experience with power electronics or grid-connected converter controls. Knowledge of control systems and digitalsignalprocessing (FIR, IIR, FFT). Familiarity with embedded bootloaders, memory maps, and linker scripts. Experience with board bring-up and low-level hardware/software integration. More ❯
Our mission is to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signalprocessing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a … keep learning and improving. Nice to Have Experience working with noisy, high-frequency, or sensor/time-series data (e.g. GPS, accelerometer), and making sense of it. Experience with digitalsignalprocessing or sensor physics. Experience with cloud platforms (e.g. AWS) and tooling like Docker, Kubernetes, or orchestration frameworks. Background in insurance, mobile data, or behaviour modelling. More ❯
