3 of 3 Embedded Systems Jobs in Oxford

Senior Communications System Engineer

Hiring Organisation
Mars Recruitment
Location
Oxford, Oxfordshire, United Kingdom
Employment Type
Permanent
Salary
£80000 - £110000/annum
Oxford. Led by a talented team with considerable sector experience and specialist subject knowledge, their mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, the Senior Wireless Communications Engineer will create a substantial impact by developing critical technology … level modelling and simulation using MATLAB for floating-point algorithm development; implementing floating and fixed-point algorithms in C/C++ for real-time embedded systems; analysing and optimising signal processing tasks, such as modulation, demodulation, channel estimation, equalisation, and synchronisation; prototyping and validating algorithms using Software Defined ...

Software Engineer (C++) - High-Performance Systems - (ID45430)

Hiring Organisation
Humand Talent
Location
Oxford, England, United Kingdom
C++ Software Engineer – High-Performance Systems Do you enjoy solving performance challenges in real-time environments? Looking to work on software that interacts closely with hardware and advanced processing? Ready to contribute to systems that support innovation across multiple sectors? We’re working with a well-established, technically … respected organisation developing real-time systems used in scientific, engineering, and research applications globally. They're seeking a C++ Software Engineer to help evolve and optimise key areas of their performance-critical software. You’ll join a collaborative, engineering-led team where your contributions will directly influence system efficiency ...

Edge AI Engineer

Hiring Organisation
Mars Recruitment
Location
Oxford, Oxfordshire, United Kingdom
Employment Type
Permanent
Salary
£70000 - £90000/annum
industry experts, and with strong links to the University of Oxford, they are on a mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, you Edge AI Engineer will create a substantial impact by developing critical technology that … pipelines on hardware accelerators such as FPGA, TPU, and ASICs. Optimising CNN, Transformer, RNN, and/or GNN architectures for deployment on low-power embedded systems. Apply quantisation, pruning, distillation, and model compression to enhance efficiency. Strengthening model robustness against adversarial attacks and system-level security threats. Collaborating with ...