Help shape the future of mobility.

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 the area of 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.

Aptiv is a leader for in-cabin sensing 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 and software developers to shape the future of mobility with us.

• Developing advanced machine learning algorithms for automotive interior (in-cabin) sensing from early prototype to production grade solution
• Training and testing of deep neural networks and other ML models
• Relevant algorithmic problems include object detection and tracking, classification, segmentation, 3D pose estimation from 2D images, and 3D scene reconstruction.
• 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 (SCRUM)

• Master's degree in computer science or related field with specialization on Machine Learning, Deep Learning, Computer Vision, or Autonomous Systems
• Minimum two years practical work experience in Machine Learning Engineering and Deep Learning
• Strong software development skills in both C++ and Python. You have a passion for clean, well-tested, and documented code.
• Solid theoretical understanding of artificial intelligence, neural network architectures, model building and evaluation
• Solid practical experience in using at least one common ML framework (e.g. PyTorch, Tensorflow)
• Experience with ML workflow tools and related processes (e.g. MLflow, Kubeflow)
• Experience working with large scale datasets
• Fluent in English. Excellent written and verbal communication skills & good interpersonal skills

• Background in image processing, computer vision, and multi-view geometry
• Practical experience with Linux, version control systems (e.g. Git, DVC), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)

• Our working style: flexible work environment
• Learning, professional growth and development in a world-recognized international environment.
• Access to internal & external training, coaching & certifications.
• Recognition for innovation and excellence.
• Opportunities to give back to the community

• 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