Tech Stack

Description

You'll build foundational data and ML platforms powering autonomy at scale—handling petabytes of sensor data, designing ingestion pipelines, and creating efficient labeling workflows as part of a new early-stage team with broad cross-company impact.

Requirements

• Bachelor's degree in Computer Science or equivalent.
• 2+ years of professional experience.
• Strong backend engineering experience.
• Problem-solving skills and experience in fast-paced cross-functional environments.
• Hands-on experience with modern data stack technologies (Spark, Hudi, Trino, Kafka) is a plus.

Responsibilities

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