13 of 13 Permanent Benchmarking Jobs in Cambridge

across HPC compute, cloud, Emulation and FPGA environments.Responsibilities:Platform Optimization and Systems Engineering: Contributing to improvements in HPC scheduling and infrastructure efficiency.Assist with performance benchmarking activities, to help support platform decisions.Observability and Performance Analysis: Developing dashboards and visualisations.Cost and Resource Optimisation: Analysing Cost and Usage Reports (CUR) and infrastructure metrics ...

compute, cloud, Emulation and FPGA environments. Responsibilities: Platform Optimization and Systems Engineering: Contributing to improvements in HPC scheduling and infrastructure efficiency. Assist with performance benchmarking activities, to help support platform decisions. Observability and Performance Analysis: Developing dashboards and visualisations. Cost and Resource Optimisation: Analysing Cost and Usage Reports ...

technologies over experience with any particular technology. Experience in any of the following would also be beneficial:ML model inspection, visualisation, profiling or benchmarking tooling.Understanding of how ML workloads are deployed across CPUs, GPUs and ML accelerators, and how models, runtimes, execution backends and hardware interact.Linux, containers and high-level ...

technologies over experience with any particular technology. Experience in any of the following would also be beneficial: ML model inspection, visualisation, profiling or benchmarking tooling. Understanding of how ML workloads are deployed across CPUs, GPUs and ML accelerators, and how models, runtimes, execution backends and hardware interact. Linux, containers ...

analyzing pathology imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.Stay current with advances ...

heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors.Strong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements.Excellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams.Ideal candidates will have direct experience with ...

heterogeneous compute architectures, such as GPUs, spatial accelerators, or other domain specific processors. Strong analytical and debugging skills, with experience using profiling, tracing, and benchmarking tools to drive performance improvements. Excellent communication and collaboration skills, with the ability to work across hardware, systems, and software teams. Ideal candidates will have ...

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 for a Principal Product Manager ...

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 for a Principal Product Manager ...

Ahead-of-Time or Just-in-Time compilation flows for AI workloadsTransforming graphs or working with operator partitioning, scheduling, memory planning, or model optimisationValidating, benchmarking, profiling, or analysing AI model performanceDeveloping compiler technologies, intermediate representations, or hardware abstraction layersBuilding automated tests and CI/CD workflows for large-scale software … collaboratively across Arm provides exposure to inference engines and runtimes, accelerator integration, operator partitioning and fallback mechanisms, AOT and JIT compilation, model validation and benchmarking, performance optimisation, and automated validation workflows.There are also opportunities to build a broader understanding of how machine learning frameworks, software, compilers, and hardware come together ...

platform standards, and explain advanced AI concepts in accessible terms.Identify high-impact opportunities where AI can deliver meaningful scientific value and define rigorous benchmarking and evaluation strategies to guide method selection.Develop, validate, and deploy robust image analysis algorithms to characterize cellular, organoid, tissue, and other complex biological phenotypes in high … image segmentation, feature extraction, phenotypic profiling, object classification, or representation learning applied to high-content or high-throughput imaging data.Practical expertise in designing benchmarking and evaluation strategies to compare image analysis methods and guide rigorous, evidence-based model selection.Ability to work effectively in Linux-based high-performance computing, cloud ...

expected to contribute confidently from the outset.What you’ll doDeliver technical content, applied labs, demos, and practical activities focused on AI workloads, model deployment, benchmarking, profiling, tooling, performance concepts, compute systems, and Arm-based platforms.Prepare, test, and adapt labs, setup guides, demos, software environments, and practical exercises before delivery.Troubleshoot issues … technical content, applied labs, demos, engineering projects, developer enablement, or partner-facing technical activity.Practical understanding of AI and systems workflows, such as model deployment, benchmarking, profiling, debugging, lab environments, cloud or edge setup, or performance analysis.Ability to troubleshoot practical technical issues in applied, lab-based, or partner-facing settings.Ability ...

contribute confidently from the outset. What you'll doDeliver technical content, applied labs, demos, and practical activities focused on AI workloads, model deployment, benchmarking, profiling, tooling, performance concepts, compute systems, and Arm-based platforms. Prepare, test, and adapt labs, setup guides, demos, software environments, and practical exercises before delivery. Troubleshoot … content, applied labs, demos, engineering projects, developer enablement, or partner-facing technical activity. Practical understanding of AI and systems workflows, such as model deployment, benchmarking, profiling, debugging, lab environments, cloud or edge setup, or performance analysis. Ability to troubleshoot practical technical issues in applied, lab-based, or partner-facing settings. ...