At APTIV, we design, develop, and validate systems to improve safety and comfort in vehicles. This includes the development of innovative computer vision features and machine learning algorithms for interior and exterior cameras. Examples of features are vehicle and pedestrian detection, lane detection, traffic sign and traffic light recognition, driver drowsiness sensing, seat occupancy monitoring, child presence detection, and hand gesture recognition.
APTIV is a global leader in radar and camera technology and a well-established supplier of sensing and compute hardware as well as software solutions. In this fast growing and innovative technology area, you would be working in an international team of computer vision and machine learning experts to shape the future of mobility with us.
responsibilities :
Developing advanced machine learning algorithms for automotive interior (in-cabin) or exterior cameras from early prototype to platform integration ready.
Writing high quality, tested and efficient software in Python and C++ for our AI/ML SW Stack
Filing patent applications to strengthen the APTIV IP footprint
Working in an Agile SW development team
Leading and mentoring a small group of SW engineers
requirements-expected :
Masters degree + 3 years of relevant experience or PhD degree in computer science, electrical engineering or related field
Strong software development skills in C++.
Passion for clean, well-tested, and documented code.
Motivated learner
Fluent in English
Excellent written and verbal communication skills & good interpersonal skills
offered :
Private health care (Signal Iduna) and Life insurance for you and your beloved ones
Well-Being Program that includes regular webinars, workshops, and networking events
Hybrid work (min. 47 days/yr of remote work, flexible working hours)
Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
