Software Engineer - Kafka
$153k - $222kApplied Intuition
Join to apply for the Software Engineer - Kafka role at Applied Intuition
Join to apply for the Software Engineer - Kafka role at Applied Intuition
About Applied Intuition
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 appliedintuition.com.
About Applied Intuition
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 appliedintuition.com. 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. (Note: For EpiSci job openings, fully remote work will be considered by exception.) About The Role 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
- 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
- Strong backend engineering experience
- 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
Seniority level
Seniority level
Entry level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology-
Industries
Software Development
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