At APTIV, we design, develop, and validate systems to improve safety and comfort in vehicles. This includes the development of innovative computer vision features and machine learning algorithms for exterior cameras. Examples of features are vehicle and pedestrian detection, lane detection, traffic sign and traffic light recognition.
APTIV is a global leader in radar and camera 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 to shape the future of mobility with us.
Your role
Design, train, evaluate, and optimize state-of-the-art machine learning models for camera-based perception.
Apply modern approaches such as transformers, vision transformers, convolutional neural networks, representation learning, and self-supervised learning.
Improve model performance, robustness, generalization, computational efficiency, and inference latency.
Share knowledge and help strengthen engineering excellence within the team.
Collaborate with software engineers, system engineers, validation teams, and other AI/ML specialists across an international organization.
Your background
Master's degree or higher in computer science, applied mathematics or related field
Practical experience with several of the following:
-Transformers and vision transformers
-Convolutional neural networks
-Representation learning
-Self-supervised or semi-supervised learning
-Classical computer vision
-Large-scale model training
Strong foundation in linear algebra, probability, and optimization.
Strong programming skills in Python and experience writing maintainable, production-quality code.
A commitment to software quality, including testing, documentation, code reviews, and reproducible development practices.
Strong analytical and problem-solving skills.
Effective written and verbal communication skills in English.
Preferred Qualifications:
Experience in development in Rust
Experience in development of production-grade AI solutions
Experience with Git, CI/CD, and Agile development.
Familiarity with ADAS, autonomous driving, or automotive datasets.
Understanding of classical computer vision and camera calibration
Experience with large-scale training infrastructure.
Familiarity with embedded or resource-constrained AI deployment.
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 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
#LI-MC1
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.
Skills Required
- Master’s degree or higher in computer science, applied mathematics, or a related field
- Practical experience with transformers and vision transformers
- Practical experience with convolutional neural networks
- Practical experience with representation learning
- Practical experience with self-supervised or semi-supervised learning
- Practical experience with classical computer vision
- Practical experience with large-scale model training
- Strong foundation in linear algebra, probability, and optimization
- Strong Python programming skills and ability to write maintainable, production-quality code
- Commitment to software quality, including testing, documentation, code reviews, and reproducible development practices
- Strong analytical and problem-solving skills
- Effective written and verbal communication skills in English
- Experience developing in Rust
- Experience developing production-grade AI solutions
- Experience with Git, CI/CD, and Agile development
- Familiarity with ADAS, autonomous driving, or automotive datasets
- Understanding of classical computer vision and camera calibration
- Experience with large-scale training infrastructure
- Familiarity with embedded or resource-constrained AI deployment
APTIV Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about APTIV and has not been reviewed or approved by APTIV.
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Retirement Support — A 401(k) plan with company contribution and competitive matching is described as a notable component of the total rewards package. Equity participation and performance bonuses are also positioned as part of long-term and variable compensation.
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Healthcare Strength — Core coverage is portrayed as broad, spanning medical, dental, vision, life, and disability insurance. Mental health resources and an Employee Assistance Program are also included as part of wellness support.
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Leave & Time Off Breadth — Paid holidays, paid sick days, and flexible time-off policies are included in the benefits mix. Flexible scheduling and remote-work programs further support time management and personal needs.
APTIV Insights
What We Do
Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. #ItsOurMove
