C++ Software Engineer for Computer Vision

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:

• Developing advanced computer vision algorithms for automotive interior (in-cabin) or exterior cameras

• Creating algorithm prototypes in Python

• Writing high quality, tested and efficient algorithms in C++ for our embedded AI/ML SW stack

• Filing patent applications to strengthen the APTIV IP footprint

• Working in an agile SW development team

Your Background:

• Master's degree in computer science, electrical engineering or a related field

• Strong software development skills in C++ and/or Python

• Passion for clean, well-tested, and documented code

• Motivated learner

• Fluent in English

• Excellent written and verbal communication skills & good interpersonal skills

• Excellent problem-solving skills, attention to detail, and ability to work collaboratively with cross-functional team

Nice to have:

• Knowledge of classical computer vision algorithms

• Knowledge of machine learning/artificial intelligence, model building and evaluation

• Knowledge of common ML frameworks (Tensorflow, Keras, PyTorch, fast.ai)

• Knowledge of camera calibration

• Practical experience with Linux, version control systems (Git), build systems (Make, CMake) and code review tools (Gerrit, Gitlab, Bitbucket)

Your Benefits at Aptiv:

• 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

• Flexible working hours

• Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)

• Access to sports groups and Multisport card
   

Apply today, and together let’s change tomorrow!
 #LI-BR1