4 of 4 Remote/Hybrid Compiler Engineer Jobs in the UK

Software Engineers who share a passion for leaving their mark on the future of computing. Job Overview: Are you interested in working on pioneering compiler technology as part of our team of dedicated engineers working with the wider LLVM community? We have an opening for an exciting and varied … role in our FuSa Toolchain team. In this role, you will contribute to the development of our commercial Functional Safety compiler toolchain and libraries.Previous experience working with LLVM or functional safety projects is desirable but not essential. Responsibilities: Develop our commercial C/C++ toolchain and libraries used ...

Description: Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML graph … level hardware programming, efficient memory allocation and performance optimisation. Responsibilities: You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire ...

NVIDIA Corporation is seeking a Senior CPU Compiler Performance Engineer for distributed, high-impact work across AI and HPC workloads. You will analyze AI workloads, improve compiler toolchains, and contribute optimisations for CPU hardware/software co-design in a globally distributed team. Role requires strong C++ … skills, CPU architecture knowledge, and experience with compiler infrastructures such as GCC, LLVM or MLIR. Remote collaboration with teams across multiple regions is expected. #J-18808-Ljbffr ...

Huawei Research and Development UK Limited in Edinburgh is seeking a skilled AI Compiler Optimization Engineer to boost AI model inference performance on CPU and CPU/XPU hybrid systems, using advanced compiler techniques. You will profile frameworks such as TensorFlow, PyTorch and ONNX, optimize graph execution ...