Software Engineer – Data and Test Flywheel

About the role

Applied Intuition is building the data flywheel that connects vehicle data collection, training, and automated model improvement. As a Software Engineer on the SDS Core team, you will create the infrastructure that lets autonomous‑driving stacks continuously learn from real‑world and simulated data, accelerating perception, planning and control development.

Key responsibilities

• Build and maintain large‑scale ETL pipelines for ingesting and curating driving datasets.
• Design and implement systems that automate data selection, labeling, training and testing loops.
• Collaborate with perception, planning and control teams to improve training efficiency and model performance across iterations.
• Develop core infrastructure that closes the loop between real‑world test results and new model deployments.
• Mentor junior engineers and help define best practices for data‑centric development.

Required profile

• Bachelor’s degree or higher in Computer Science, Electrical Engineering, Software Engineering or a related field.
• 3–5 years of professional experience in software development or data engineering.
• Experience working on large‑scale data processing and machine‑learning infrastructure.

Required skills

• Design and implementation of ETL pipelines.
• Large‑scale data processing and curation.
• Machine learning infrastructure and automation.