Data & ML Infra Engineer for Autonomous Driving

Applied Intuition Inc.; Sunnyvale (CA); Hybrid; USD 125,000 - 222,000; Full time

Job summary

Applied Intuition in Sunnyvale is seeking a Data and Test Flywheel Engineer to build systems connecting vehicle data collection, training, and model improvement. You’ll create the infrastructure that allows our autonomous driving stack to continuously learn from real-world and simulation data, accelerating development across perception, planning, and control.

This role sits at the intersection of large-scale data engineering and machine learning infrastructure.

Qualifications

• Bachelor’s or higher degree in Engineering (CS/EE/Software Eng.).
• 3–5 years of experience in software or data infrastructure engineering.
• Experience building and scaling data pipelines, distributed systems, or ML infrastructure.
• Proficiency in Python and data frameworks like Spark, Airflow, Kafka.
• Experience with large-scale datasets and data-driven development cycles.
• Familiarity with ML workflows or model training/deployment.
• Strong systems thinking and cross-stack collaboration.

Responsibilities

• Build and maintain large-scale data processing pipelines (ETL) for ingesting and curating driving datasets.
• Design and implement systems that automate data selection, labeling, training, and testing loops.
• Collaborate with modeling teams to improve training efficiency and model performance across iterations.
• Develop the core infrastructure that closes the loop between real-world test results and new model deployments.
• Use your engineering expertise to help Applied Intuition’s vehicles learn from data at scale, improving safety and performance.
• Mentor junior engineers and contribute to defining best practices for data-centric development.

Skills

Python

Data-driven development

Large-scale data processing

Distributed systems

ML infrastructure

Systems thinking

Mentoring

Education

Bachelor's or higher in Engineering (CS/EE/Software Eng.)

Tools

Spark

Airflow

Kafka

Job description

Applied Intuition in Sunnyvale is seeking a Data and Test Flywheel Engineer to build systems connecting vehicle data collection, training, and model improvement. You’ll create the infrastructure that allows our autonomous driving stack to continuously learn from real-world and simulation data, accelerating development across perception, planning, and control.

This role sits at the intersection of large-scale data engineering and machine learning infrastructure.