Computer Vision/ML Engineer

We are currently looking for an experienced Computer Vision Engineer to work in our Cracow Computer Vision Team. The successful candidate will be at the forefront of the latest technological advances that will transform mobility toward the future.

Type of work: hybrid work in Kraków - 3 days in the office

Your role

  • Developing advanced computer vision algorithms for automotive interior (in-cabin) or exterior cameras from early prototype to platform integration ready

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

  • Creating algorithm prototypes in Python

  • Working in an agile software development team

Your background

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

  • Strong software development skills in both C++ and Python

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

  • Practical experience with classical computer vision algorithms

  • Fluent in English

Nice to have

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

  • Knowledge of common ML frameworks (Tensorflow, Keras, PyTorch,

  • Knowledge of camera calibration and ISP algorithms

  • Knowledge of embedded SW

  • Knowledge of the Rust programming language

  • 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

  • Hybrid and 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!


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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.