Aptiv is a leader in in-cabin sensing technology and a well-established supplier of sensing and computer 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 and software developers to shape the future of mobility with us. 

At Aptiv we design, develop, and validate systems to enhance the safety and comfort in the vehicle cabin. This includes the development of innovative software features and machine learning algorithms in driver state sensing, seat occupancy monitoring, child presence detection, or hand gesture recognition using 2D and 3D cameras as well as other interior sensing technologies. Driver state sensing plays an important role not only to prevent road accidents caused by drowsiness or distraction of the driver, but also in the context of higher levels of automated driving, e.g. hand over scenarios.  

Your Role

In your daily job you will:

  • Developing advanced machine learning algorithms for automotive interior (in-cabin) sensing from early prototype to platform integration ready. 

  • Relevant algorithmic problems include object detection and tracking, classification, segmentation, SLAM & structure-from-motion, Kalman filtering, and 3D reconstruction.

  • Writing high quality, tested and efficient software in Python and C++ for our AI/ML SW Stack 

  • Defining continuously improving machine learning workflows based on best practices in the industry and establishing them within the team.

  • Filing patent applications to strengthen the Aptiv IP footprint

  • Working in an Agile SW development team (SCRUM) 

  • Mentoring junior engineers

Your Background

  • Key ingredients for succeeding in the role are your:

  • Master's degree and several years of relevant experience or PhD degree in computer science, electrical engineering or related field

  • Strong software development skills in both C++ and Python. You have a passion for clean, well-tested, and documented code, following an ASPICE development process. 

  • Deep understanding of artificial intelligence, model building and evaluation 

  • Expert knowledge in at least one common ML framework (Tensorflow, PyTorch)

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

  • Fluent in English. Excellent written and verbal communication skills & good interpersonal skills

Nice to have:

  • Knowledge in classical computer vision and camera calibration

  • Practical experience with automotive/robotics middleware, such as ROS, Adaptive AUTOSAR

  • Knowledge in Rust

Why join us?

  • You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.

  • You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

  • You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

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! 

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.

Location

POL Krakow - Eng

Job Overview
Job Posted:
3 months ago
Job Expires:
Job Type
Full Time

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