Responsibilities:
- Join our Validation and Data analysis team that is dedicated to enhancing autonomous driving safety and performance with meticulous defect analysis.
- Work closely with test drivers, engineers, and data analysts to identify root causes of defects found in test drives and reprocessing.
- Contribute to the development of more robust ADAS Platform by providing detailed insights from your analysis.
- Engage in an innovative setting with a focus on continuous improvement.
- Leverage advanced data analysis tools to evaluate and interpret large vehicle traces.
- Collaborate across disciplines to optimize the defect resolution processes.
Must have Experience:
- Solid experience in automotive testing, defect analysis, or quality assurance, specifically related to autonomous driving systems or vehicle electronics.
- Strong analytical skills with proficiency in data evaluation and diagnostic tools; programming skills in Python, JavaScript, or similar are mandatory.
- Familiarity with vehicle sensor systems,
architecture, and autonomous driving components.
- Experience with defect tracking and management tools such as Jira, Code Beamer, or equivalent systems.
- Knowledge of vehicle E/E architecture, communication protocols, and diagnostics.
- Ability to interpret test drive data, logs, and sensor outputs to identify potential root causes of defects.
- Excellent communication skills to clearly articulate results and insights and collaborate with diverse teams.
- A proactive mindset with a passion for autonomous driving technology and vehicle safety.
Optional
- Experience in automotive software diagnostics and troubleshooting.
- Knowledge of safety standards such as ISO 26262.
- Familiarity with cloud data analysis tools and infrastructure.
- Certification or training in vehicle testing, quality management, or related fields.