Expert Computer Vision Algorithm Engineer Full-time

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.

In our team 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 Computer Vision algorithms for automotive interior (in-cabin) sensing from early prototype to production grade solution
• Relevant algorithmic problems include image pre-processing, camera calibration, 3D pose estimation from 2D images, and 3D scene reconstruction from multi view geometry.
• Integrating Computer Vision modules with vision-based Machine Learning modules, and combining the outputs for specific applications
• Writing high quality, tested and efficient software in C++ for our Interior Sensing SW Stack
• 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 + 3 years of relevant experience or PhD degree in computer science or related field with specialization on Computer Vision, Machine Learning, Deep Learning or Autonomous Systems
• Strong theoretical and practical background in image processing, computer vision, and multi-view geometry with minimum three years relevant work experience
• 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.
• Practical experience with Linux, version control systems (e.g. Git, DVC), 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:

• Solid theoretical understanding of artificial intelligence, neural network architectures, model building and evaluation
• Practical experience in using at least one common ML framework (e.g. PyTorch, Tensorflow)
• Experience working with large scale datasets

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!

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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.