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Applied Intuition

Builds software for autonomous vehicles

Engineering Manager - Multiple Teams

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$204k - $343k /yr

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Software Engineering, or equivalent.
  • At least 6 years of professional software engineering experience, including at least 2 years in an engineering management or tech lead role.
  • Hands-on experience with large-scale open-source data technologies such as Spark, Hudi/Iceberg, LanceDB, and dbt.
  • 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.

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 cloud, hybrid, and on-premises deployment environments 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 engineering talent and build an inclusive, high-performing team.

Desired Qualifications

  • Experience with multi-cloud platforms such as GCP, AWS, or Azure, or multi-region data platforms, including data-residency requirements.
  • Experience with streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally operating them at high scale.
  • Familiarity with data quality, data profiling, and data governance frameworks.
  • Experience building and operating observability or monitoring for data systems at scale.
  • Experience 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.

About the Company

Applied Intuition

Builds software for autonomous vehicles

Applied Intuition builds software for automakers and operators developing autonomous vehicles and other machines, from passenger cars to industrial equipment. Its Tools for Vehicle Intelligence let engineers test driving behavior in simulated worlds, while Vehicle OS connects software inside a machine with development tools off the vehicle. The Self-Driving System supports driver assistance and fully driverless operation for passenger and commercial vehicles. It sells these systems to businesses and works alongside their engineers to integrate, validate and update vehicle software. Applied Intuition was founded in 2017 and is headquartered in Sunnyvale, California.

Company size
1,001-5,000
Company stage
Series F
Total funding
$1.2B
Headquarters
Sunnyvale, CA
Founded
2017

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