About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and
About Huawei Research and Development UK Limited Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and
Overview The Central Technology Team within Arm develops key technologies which will form the foundation of future products. You will join a multinational, dynamic, collaborative and highly motivated Graphics team in Central Technology to help craft
We are looking for a hands-on Power and Performance Engineer to join Arm’s Platforms and Performance Analysis team. The role focuses on power and performance profiling of SoC platforms, pre-silicon and post-silicon PnP methodology, TDP definition,
We are looking to hire a CPU Compiler Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIAs CPUs designed for the worlds largest AI and HPC
We are looking to hire a senior CPU Compiler performance Engineer for an exciting and fun role at NVIDIA. We craft outstanding compilers that realise the potential of NVIDIAs CPUs designed for the worlds largest AI
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If youre creative, hard-working, and self-motivated,
Infrastructure Engineer Cambridge, UK Start date: September 2026 or ASAP Contract: Permanent, full-time role About us At Wave Photonics, we are building a platform to enable and accelerate the development, mass production and adoption of integrated photonics
Lila Sciences is seeking a Staff/Principal DevOps Engineer for AI Inference to design and optimize infrastructure for serving ML models at scale. You will bridge platform engineering, SRE, and ML infra to enable low-latency, high-throughput inference across