Software Engineer - Kafka

Job description

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.;

Job responsibilities

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

Job requirements

A Bachelor's degree in Computer Science, Software Engineering, or equivalent
2+ years of professional experience
Strong backend engineering experience
Problem-solving skills and experience working with cross-functional teams in fast-paced environments

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Software Engineer - Kafka

Job description

Job responsibilities

Job requirements

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