Engineering Manager - Autonomy Storage Infra

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

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

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

• 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

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total…