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 environment 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.
Required Experience:
Manager
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.Con...
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 environment 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.
Required Experience:
Manager
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