Engineering Manager - Autonomy Storage Infra

Job summary

Responsibilities

We are looking for an Engineering Manager to lead our Autonomy Storage Infra team within the Data & Compute org. In this role, you will manage a world class data engineering team responsible for the full data lifecycle - from collection and ingestion to storage, querying, and retrieval - at…

• Lead, grow, and mentor a team of data infrastructure engineers, fostering a culture of technical excellence, ownership, and collaboration
• Define and drive the technical roadmap for storage infrastructure, balancing short-term delivery with long-term scalability
• Own the architecture and reliability of systems that handle the full data lifecycle across all deployment environments (cloud, hybrid, on-prem) and regions
• Drive engineering decisions around scalable data ingestion, indexing, storage, and retrieval for high-volume autonomous vehicle and physical AI workloads
• Establish and uphold engineering best practices, code quality standards, and operational excellence across the team

What they're looking for

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 6+ years of professional software engineering experience, with 2+ years in an engineering management or tech lead role
• Hands-on experience with large-scale open-source data technologies (Spark, Hudi/Iceberg, LanceDB, dbt, etc.)
• A strong track record of leading teams that build and operate high-scale distributed data systems
• Experience managing engineers across the full data lifecycle in a production environment

Tech stack

• Spark
• dbt
• GCP
• AWS
• Azure
• Kafka