Teams at Arm

Leads product vision, strategy, and roadmap for large-scale AI inference platforms. Owns compute execution, serving, orchestration, control plane services, performance metrics, and hardware-software co-design. Partners with engineering, research, infrastructure, and product teams to deliver scalable, efficient AI systems supporting LLM, multimodal, and agentic workloads.

Leads SoC power analysis, modeling, optimization, and pre- and post-silicon power convergence. Manages and mentors power engineers while coordinating with architecture, design, verification, and product teams. Drives power targets, develops workflows, creates workload scenarios, improves silicon correlation, and supports power sign-off. Requires expertise in RTL and netlist power analysis, EDA tools, ASIC design dependencies, simulation and emulation environments, and multi-project technical leadership. Python automation and power-budget decomposition are preferred.

Leads software product management for Arm’s Edge AI portfolio, defining roadmaps, prioritizing requirements, and delivering software reference solutions for consumer devices. Collaborates with engineering, customers, manufacturers, designers, and ecosystem partners to translate market needs into product plans and integrated software tooling. Shapes product direction and market strategy while providing technical leadership across machine learning and container runtime technologies.