Data Engineer, Application Software

📋 Description

• Building and improving scalable data pipelines that support model development, evaluation and
• Ingesting, transforming and curating large-scale real-world, synthetic and partner-provided
• Developing data quality checks, validation processes and monitoring so that raw vehicle data and
• Curating and mining real-world and synthetic data to drive scenario diversity, coverage and
• Improving pipeline performance, reliability and usability, reducing bottlenecks and increasing
• Collaborating closely with ML engineers, Data Corpus, AI Platform and external partners so data

🎯 Requirements

• Proven experience building and operating scalable data pipelines or distributed data processing
• Strong software engineering skills in Python
• Proficient in SQL and PySpark
• Experience with modern data pipeline architectures including Airflow, Flyte, Ray or similar
• Solid understanding of robotics and automated driving data concepts
• Understanding of machine learning development workflows

🎁 Benefits

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working
• Learning and development budgets
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave