Teams at Arm

Define performance telemetry and profiling architecture for next-generation Arm platforms spanning CPUs, accelerators, memory, interconnects, I/O, networking, storage, and chiplets. Establish observability specifications, telemetry models, profiling hooks, and cross-layer data flows from silicon through software and developer tools. Collaborate with hardware, software, power, modeling, and tooling teams to support workload analysis, bottleneck detection, performance validation, power-performance optimization, silicon bring-up, and deployment debugging across AI, edge, automotive, robotics, and infrastructure systems.

Design and build MLOps infrastructure for production deployment of data, machine-learning models, and software. Develop end-to-end ML pipelines, CI/CD/CT workflows, secure repository strategies, containerized deployments, and automation for Edge AI applications. Collaborate with developers, data scientists, and ML engineers to define tooling, monitor DevOps performance, and improve operational efficiency. Support embedded-system CI/CT, open-source pipelines, and model testing.

Lead performance architecture for next-generation server platforms by analyzing production silicon, AI and HPC workloads, microbenchmarks, cache and memory systems, and high-performance I/O. Define metrics and benchmarking strategies, identify bottlenecks, recommend optimizations, and translate workload and silicon insights into architectural improvements. Collaborate with hardware and software teams while providing technical leadership across complex system-design efforts.