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.
Role based in Kraków.
Your Role:
Your Background:
Nice to have:
Your Benefits at Aptiv:
Apply today, and together let’s change tomorrow!
#LI-BR1
Privacy Notice – Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
Responsibilities Design and implement core AI cloud services for real-time audio Work closely with science teams, use the latest techniques...
How to applyWHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry,...
How to applyWHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry,...
How to applyBuild the future of the AI Data Cloud. Join the Snowflake team. There is only one Data Cloud. Snowflake’s founders...
How to applyOverview Azure is building modernistic accelerated supercomputers at unforeseen scales to facilitate the massive computational demands of the world’s leading...
How to applyAre you passionate about teaching machines to “see” and understand the world through visual data? Do you thrive on developing...
How to apply