ARM Principal ML Solutions Architect 

United States, Texas, Austin 

221831366

Engage with end customers such as Hyperscalers, OEMs, ML system and software companies to understand ML use-cases, requirements, and opportunities for Arm.

Keep pace with the latest advancements in ML space, drive competitive analysis and find innovative solutions to prepare Arm for success. Support Product Managers on defining ML requirements for software and next-gen hardware.

• MS or PhD in Electrical Engineering or Computer Engineering (other degrees will be considered with relevant work experience)
• 10+ years as a systems/solutions architect with a background in ML and other Cloud workloads and applications.
• Deep understanding of ML system architecture including ML models (BERT, LLMs, DLRM), frameworks (TensorFlow, PyTorch), runtime engines and their mapping to key hardware primitives (SIMD engines, system-architecture).
• Experience helping customers deploy ML in various use-cases including NLP, Vision, Data-analytics – covering both emerging applications like GenAI as well as Traditional ML applications.
• Good communication and collaboration skills, ability to build technical consensus across multiple teams and bring clarity to poorly defined and complex problems.

• Knowledge of Cloud application architecture, components that integrate with ML – e.g. Databases, web, runtime languages, orchestration, storage etc.
• Understanding of systems and software architecture and their impact on hardware designs and vice-verse. Knowledge of Arm eco-system of software and hardware partners.
• Ability to generate consistent, complete, and concise written specifications.
• Experience driving industry standards and presenting at various industry technical forums and events.