3 of 3 FPGA Jobs in Oxford

Senior Silicon Design Engineer

Hiring Organisation
Advanced Micro Devices
Location
Oxford, Oxfordshire, UK
Employment Type
Full-time
Experience in designing complex digital hardware systems and developing hardware architectures for algorithm implementation would be a plus Proficiency using ASIC and/or FPGA simulation and synthesis tools Familiarity with best practice chip-level verification techniques and languages Experience with Cache Coherency verification would be an advantage Experience ...

FPGA Design Engineer

Hiring Organisation
Platform Recruitment Limited
Location
Oxford, Oxfordshire, South East, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£70,000
FPGA Engineer Hybrid | Engineering & Software Development | Full-time | Oxford Salary: Up to £70,000 We are seeking a talented FPGA Engineer to join a pioneering quantum technology company in Oxford. 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 hardware, firmware, and software. Collaborate with multidisciplinary teams to deliver next-generation quantum technologies. What Were Looking For: Strong experience in FPGA programming ...

Edge AI Engineer

Hiring Organisation
Mars Recruitment
Location
Oxford, Oxfordshire, United Kingdom
Employment Type
Permanent
Salary
£70000 - £90000/annum
secure communications and signal processing on a range of edge devices. Implementing low-latency, high-performance deep learning 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 … experience in AI/ML systems development. Understanding of training-inference workflows, including data preprocessing, model evaluation and benchmarking. Familiarity with hardware accelerators (FPGA, TPU, ASIC, GPU-based inference). Experience with model optimisation techniques: quantisation, pruning, knowledge distillation and model compression. Proficient with Git, CI/CD and Linux ...