Description
Your role
Work on cutting-edge AI technologies that power future ADAS and automated driving systemsApply state-of-the-art machine learning and computer vision techniques to real-world automotive challengesGain hands-on experience with large-scale datasets, modern AI frameworks, and production-oriented development workflowsCollaborate with experienced researchers and engineers in a highly innovative international environmentExplore emerging areas such as foundation models, multi-modal learning, behavior prediction, and automated parkingDevelop both research and engineering skills while contributing to products deployed in customer vehicles
Your background
Master's degree (or close to completion) in Computer Science, Machine Learning, Computer Vision, Robotics, Electrical Engineering, Mathematics, Physics, or a related fieldStrong analytical and problem-solving skills with a solid foundation in mathematics, statistics, and machine learningGood understanding of machine learning fundamentals and deep learning conceptsAcademic, internship, research, or project experience in one or more of the following areas:Computer vision (detection, segmentation, tracking, 3D perception)Deep learning techniques (CNNs, Vision Transformers, foundation models)Sequential or temporal modeling and processingRepresentation learning, self-supervised learning, or generative AIMulti-modal learningHands-on experience with Python and at least one modern ML framework (preferably PyTorch)Experience implementing, training, or evaluating machine learning models through coursework, research projects, internships, or personal projectsAbility to read and understand scientific literature and translate research ideas into practical implementationsGood communication skills in English
Exceptional recent graduates with strong academic performance, research experience, internships, or outstanding personal projects are encouraged to apply.
Nice to have
Experience through internships, thesis work, research projects, open-source contributions, competitions, or personal projects related to AI/MLKnowledge of perception, prediction, planning, robotics, or autonomous systemsExperience with multi-sensor processing (camera, radar, lidar, IMU)Familiarity with large language models, vision-language models, or foundation modelsExperience with model optimization, deployment, or efficient inferenceKnowledge of C++ and software engineering best practicesExposure to cloud-based or large-scale training environmentsFamiliarity with automotive, ADAS, autonomous driving, or robotics applicationsContributions to scientific publications, patents, open-source projects, or technical competitionsExperience working with Git, CI/CD, and collaborative development workflows
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 onesWell-Being Program that includes regular webinars, workshops, and networking eventsHybrid work (min.
47 days/yr of remote work, 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
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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.