AI-Driven Automotive Data Engineer

ENTER bv; Helmond; On-site; EUR 55,000 - 85,000; Full time

Job summary

ENTER is seeking an Automotive Data Engineer to work at the intersection of automotive technology, data science, and software development. You will develop Python-based algorithms to process real-world driving data and translate it into traffic scenarios for testing automated driving systems.

You will contribute to a cloud-based data processing pipeline, focusing on deterministic, explainable, and reproducible algorithms for safety assessments.

Qualifications

• Master's degree in Data Science, Automotive Engineering, Software Engineering, Computer Science or comparable technical discipline.
• Strong foundation in data analytics, data science and/or AI methodologies.
• Good knowledge of statistics and data analysis.
• At least two years of experience programming in Python.
• Ability to develop structured, explainable and reproducible algorithms.
• Interest in automated driving, ADAS, vehicle safety and data-driven automotive technologies.
• Familiarity with an Agile way of working.
• Experience with version management and development workflows such as Git and CI/CD.

Responsibilities

• Develop and improve deterministic detection and analysis algorithms in Python.
• Process and analyze large amounts of real-world driving data.
• Translate data into relevant traffic scenarios for testing automated driving systems.
• Contribute to a cloud-based data processing pipeline and testing/deploying new elements.
• Collaborate with colleagues and external partners on requirements and research questions.
• Translate requirements into practical functionality for implementation and validation.

Skills

Python programming

Data analytics

Statistics

Dutch & English communication

Agile methodologies

Education

Master's degree in Data Science/Engineering/CS

Tools

Git

CI/CD

Job description

ENTER is seeking an Automotive Data Engineer to work at the intersection of automotive technology, data science, and software development. You will develop Python-based algorithms to process real-world driving data and translate it into traffic scenarios for testing automated driving systems.

You will contribute to a cloud-based data processing pipeline, focusing on deterministic, explainable, and reproducible algorithms for safety assessments.