Principal Engineer, Data & Compute
Core
Architecting and orchestrating petabyte-scale compute and storage systems for end-to-end neural network training and inference in autonomous driving.
Role type
Principal Engineer, AI Infrastructure & Compute Strategy
Builds
Foundational compute and storage systems fueling model development lifecycle for autonomous driving
Domain
Autonomous driving / Embodied AI / Cloud Infrastructure
Deliverable
infrastructure
Required skills
Large-scale distributed systems design, GPU-based cloud infrastructure, Petabyte-scale data architecture, Multi-cloud orchestration, Technical leadership, Mentorship
Preferred skills
Ray, Kubernetes, Airflow, Flyte, AI/ML job scheduling, Infrastructure-as-code, Safety-critical inference systems
Technologies
Kubernetes, Ray, Airflow, Flyte
Responsibilities
Define global compute strategy for thousands of GPUs across multiple data centers, Design petabyte-scale data federation systems, Enable cross-region GPU job execution in hybrid/multi-cloud environments, Advise leadership on compute investments and architecture, Mentor engineering teams and cultivate operational excellence
Seniority
Principal, strategic architecture & mentorship