Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that full-time employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. This in-office expectation does not apply to contractor positions

About the Role

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 hundreds of PBs scale.

You will partner closely with all business units across Applied Intuition to define the technical roadmap for our storage infra and ensure we can reliably support both external products and internal tooling across cloud, hybrid, and on-prem deployments. This is a highly cross-functional leadership role that requires deep technical credibility, strong people management skills, and a bias for ownership. At Applied Intuition, engineering managers are expected to be hands-on leaders who actively engage in technical direction, not just people management.

At Applied Intuition, you will

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

We're looking for someone who has

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

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