3 of 3 Performance Optimisation Jobs in Cambridge

Machine Learning Framework/Runtime Software Engineer (C++)

Hiring Organisation
ARM
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
different hardware is important. Some experience with, or exposure to, machine learning frameworks, runtime systems, compilers, GPU/compute software, or other performance-oriented technologies would be beneficial but is not essential. In this role, you will contribute to developing, testing, and improving software across different parts … machine learning software stack. Working alongside experienced engineers, you will help investigate functional and performance issues and contribute to solutions across runtimes, compilers, drivers, and hardware. Good analytical and problem-solving skills, a willingness to learn, and an interest in machine learning systems, AI acceleration, and performance optimisation ...

Senior Software Engineer, Roku UI

Hiring Organisation
Roku
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
world while gaining meaningful experience across a variety of disciplines. About the teamAt Roku, the UI team builds the foundational frameworks, tooling, and high‐performance UI components that power experiences across millions of devices. We own the middleware and UI layers that enable smooth navigation, responsive interactions, rich animations … consistent developer workflows across the platform. Our work spans graphics rendering, layout and animation systems, performance optimization, and developer APIs that make it easy to create reliable, visually compelling applications at scale. We operate in a collaborative, high‐trust environment and partner closely with firmware, platform, and product teams ...

Principal Product Manager - AI Tooling

Hiring Organisation
ARM
Location
Cambridge, Cambridgeshire, UK
Employment Type
Full-time
deployable artifact on Arm-based systems. Our AI tooling will bring together model graph inspection, hardware compatibility analysis, graph partitioning, quantization and other performance optimization techniques with benchmarking and deployment packaging across Arm CPUs, GPUs, Ethos-U NPUs and will evolve alongside Arm's roadmap. We are looking … PyTorch, ONNX, ExecuTorch, Llama.cpp, vLLM and LiteRT.Understanding of model deployment to edge, embedded or heterogeneous computing, with an understanding of trade-offs between accuracy, performance and power consumption. You should also have: An engineering or computer science background. Experience taking a technical product from concept to adoption ...