Software Engineer - Kafka

Responsibilities

• Design and build large-scale data platforms to support AI research and autonomy stack development, handling petabytes of multimodal sensor data.
• Work on data curation and tagging platforms to enable efficient dataset discovery, labeling workflows, and quality assessment.
• Build high-performance data processing systems using modern distributed computing frameworks to transform raw sensor data into training-ready formats.
• Utilize technologies including Apache Spark, Apache Hudi, Trino, Apache Kafka, Flyte, Kubernetes, Python, Golang, and Java.

Requirements

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

Preferred Qualifications

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

About the Company

Applied Intuition is powering the future of physical AI. We are creating the digital infrastructure needed to bring intelligence to every moving machine on the planet, servicing the automotive, defense, trucking, construction, mining, and agriculture industries. Headquartered in Sunnyvale, California, we provide essential tools and infrastructure for the world's leading autonomous systems.