MultiMedia Test System Developer developing automated testing solutions for next-generation automotive systems at Capgemini Engineering. Collaborating with automotive manufacturers to ensure quality and reliability in entertainment systems.
Responsibilities
Developing and maintaining automated test systems for automotive multimedia platforms
Creating and executing test scenarios for voice recognition, navigation, and online services using Python, CAPL, and CANoe
Implementing machine learning algorithms and API service backends
Designing and improving image and sound recognition functionality
Collaborating with suppliers to identify software bugs, track resolution progress, and maintain documentation in tracking systems
Requirements
Master's degree in Computer Science, Electrical Engineering, or related technical field
3-5 years of experience in test automation development, preferably in the automotive industry
Strong programming skills in Python (3.8+)
Experience in speech/text processing, machine learning, and robotics frameworks
Proficiency with test development methodologies including TDD, OOP, and API testing (unittest, backend, REST)
Experience with automotive testing tools such as vTestStudio, CANoe, CAPL, and HILS setups
Knowledge of automotive multimedia systems and related communication protocols
Excellent documentation and communication skills
Benefits
flexibility in more than one way: hybrid way of working, with 70% home working
flex abroad program to work up to 45 days abroad
array of career growth programs
employee led networks dedicated to diversity, equity and inclusion
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