Responsibilities

The Data & ML Infrastructure Architect will own the architecture of Motional’s ML data infrastructure, enabling scalable ingestion, storage, curation, and access for 100+ engineers and researchers across autonomy teams, and design and evolve infrastructure to support petabyte-scale machine learning workflows. They will also architect high-throughput systems for distributed training on large GPU clusters, establish robust data governance, observability, and retention strategies, and collaborate cross-functionally with ML engineers, autonomy researchers, data engineers, and DevOps to ensure tight integration between infrastructure and user workflows, leading technical strategy and roadmap development for the ML & Data Platform team, mentoring and influencing engineers across teams, and promoting engineering excellence in distributed systems, ML platforms, and autonomy-scale data management.