Engineering Manager - Autonomy Storage Infra

Job description

Job responsibilities

• 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
• Recruit top engineering talent and build an inclusive, high-performing team

Job requirements

• 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
• Deep understanding of containerization, cloud-native architectures, and modern software development workflows
• Strong cross-functional communication skills and the ability to influence technical direction at a senior level