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 ...

FPGA Design Engineer

Hiring Organisation
Platform Recruitment Limited
Location
Oxford, Oxfordshire, South East, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£70,000
Youll help bring cutting-edge atom-based quantum devices from the lab to real-world applications. What Youll Do: Design, implement, and test FPGA systems and real-time DSP algorithms Develop high-speed interfaces to hardware peripherals (ADC, DAC, DDS, PLL). Debug complex embedded systems combining … Strong experience in FPGA programming (VHDL/Verilog/SystemVerilog) and DSP implementation. Knowledge of digital and RF hardware, with hands-on experience in embedded systems. Experience with standard hardware interfaces (I2C, SPI, UART) and hardware product development. Desirable: Xilinx Zynq/RFSoC, RF test equipment, PCB design ...

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 ...