Software Engineer - Data Engine

Mountain View, California, United States

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence.

Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at  .

We are an in-office company, and our expectation is that 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.

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Note:

For Epi Sci job openings, fully remote work will be considered by exception.)

As the data engine team, our goal is to provide a central data and machine learning platform that can be used across all verticals of the company. We’re looking for generalist engineers that want to build the foundations of a new workflow that spans:

• Data ingestion from a production fleet
• Data processing and storage (TBs/car/day)
• Labeling infrastructure
• Machine learning infrastructure

This group has amassive scope to define how product verticals across the company are deployed at scale for our customers given data and machine learning infrastructure is at the heart of the autonomy problem. We’re still very early in development so if you are interested in the “0-1” stage of building up a new team that interacts with teams across the company, this is a good fit.

• Design and build large-scale data platforms to support our AI research and autonomy stack development, handling petabytes of multimodal sensor data from real-world driving scenarios
• Work on data curation and tagging platforms that enable efficient dataset discovery, labeling workflows, and quality assessment across diverse driving conditions
• Build high-performance data processing systems using modern distributed computing frameworks to transform raw sensor data into training-ready formats
• Use the following technologies:
  Apache Spark, Apache Hudi, Trino, Apache Kafka, Flyte, Kubernetes, Python, Golang, Java

• Problem-solving skills and experience working with cross-functional teams in fast-paced environments

• Hands-on experience with modern data stack technologies including Apache Spark, Hudi, Trino, Kafka, or similar distributed data processing frameworks
• Knowledge of data lake architectures, streaming systems, and workflow orchestration platforms like Flyte

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include 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, and paid time off.

Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be…