Senior AI Data Pipeline Engineer (Autonomous Driving)

What you'll do

• Develop pipelines to turn fleet-collected raw data into scene datasets and automate labeling inferences.
• Build autonomous-driving data SDKs and a lakehouse for sensor, calibration, and annotation data.
• Improve pipeline performance and maintain data-platform infrastructure in collaboration with ML and cloud teams.

What they ask for

• Bachelor's degree or higher in Computer Science, Engineering, Robotics, or a similar technical field.
• Proficient in Python, with solid Python SDK development experience.
• Hands-on experience orchestrating data pipelines with Databricks Workflows or Apache Airflow and integrating them with machine learning models.
• Experience with databases, data warehouse or lakehouse architectures, and Apache Spark or other big data computing engines.

Nice to have

• Experience with autonomous vehicle sensor data or the ML model training lifecycle.
• Understanding of modern AI frameworks, data governance, data privacy, or data security measures.

Pay

$133,000 - $254,000 (base salary); $133K – $254K (total pay)

Tools

Python, Databricks Workflows, Apache Airflow, MongoDB, PostgreSQL, Hive, Delta Lake, Apache Spark

AI focus

Enables autonomous-driving algorithms through data extraction, auto-labeling inference pipelines, and datasets and tools for ML training, evaluation, deployment, and monitoring.