Engineering Manager - Autonomy Storage Infra

Applied Intuition is looking for an Engineering Manager to lead the Autonomy Storage Infra team within the Data & Compute org. The role manages a data engineering team responsible for the full data lifecycle (collection, ingestion, storage, querying, and retrieval) at hundreds of PBs scale. The manager partners with business units to define the technical roadmap for storage infrastructure and must be a hands-on leader actively engaged in technical direction. The role is in-office, with full-time employees expected to work from the office five days a week.

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; Partner with all business units to define the technical roadmap and support external products and internal tooling across cloud, hybrid, and on-prem deployments

Requirements

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

Nice to have

Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements; Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale; Familiarity with data quality, data profiling, and data governance frameworks; Building and operating observability or monitoring for data systems at scale; Working in high-growth environments where data infrastructure had to evolve rapidly to keep pace with the business; Prior exposure to automotive, defense, robotics, or other physical AI domains

Benefits

Base salary; Equity in the form of options and/or restricted stock units; Comprehensive health, dental, vision, life and disability insurance coverage; 401k retirement benefits with employer match; Learning and wellness stipends; Paid time off