Data Engineer, App SW

📋 Description

• Build scalable data pipelines supporting ML workflows for autonomous driving.
• Ingest, transform, curate large-scale datasets into model-ready formats.
• Develop data quality checks, validation processes, and monitoring.
• Curate and mine data for scenario diversity and feature development.
• Improve pipeline performance, reliability, and usability.
• Collaborate with ML engineers, Data Corpus, AI Platform, and external partners.

🎯 Requirements

• Proven experience building and operating scalable data pipelines or distributed data processing
• Strong software engineering skills in Python with maintainable, reliable, well-tested practices.
• Proficient in SQL and PySpark with warehouse/OLAP concepts, window functions, and Spark.
• Experience with orchestration tools like Airflow, Flyte, Ray, or similar.
• Solid understanding of robotics and automated driving data concepts including sensor
• Understanding of ML workflows: training data, evaluation datasets, scenario mining, model iteration.

🎁 Benefits

• Salaries benchmarked against the market annually.
• Meaningful equity and long-term success sharing.
• Relocation support and visa sponsorship where applicable.
• Hybrid working, core hours, hands-on experience in vehicle workshops and labs.
• Learning and development budgets for training, conferences, growth.
• Comprehensive benefits: health insurance, dental, enhanced maternity/paternity leave