6 Feb 2024
Job Information
- Organisation/Company
Aptiv Services Deutschland- Research Field
Computer science » Other- Researcher Profile
Established Researcher (R3)- Country
Germany- Application Deadline
31 Jul 2024 - 00:00 (UTC)- Type of Contract
To be defined- Job Status
Negotiable- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Radar Machine Learning / Artificial Intelligence Engineer (f/m/d)
Help shape the future of mobility.
Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality.
Aptiv’s passionate teams create advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.
As a Radar ML/AI Engineer you work together with a passionate young, international team of technical experts from around the globe to develop new sensors, algorithms, and platforms to shape the future of mobility.
You love deep learning or want to learn it? You can grasp the core idea behind concepts, and you can transfer these concepts into new areas together with a team? You want to do more than just downloading a new network? You want to develop new and competitive solutions which can become a real product? You bring good communication and self-organization skills to the table?
Then don’t miss this opportunity, there are not many jobs out there like this!
Your Background
Required Qualifications:
Master or Ph.D. in science, technology, physics, engineering and mathematics or a related field
Excellent analytical skills and a good mathematical background with deep mathematical understanding
Good programming skills and experience in programming with a modern programming language, such as C/C++, Cuda, Python or R
Experience with modern radar signal processing methods or with machine learning
Preferred Qualifications:
Experience in developing software as part of a team
Experience in deep learning toolkits like Theano, Pytorch, Tensor Flow, etc.
Experience in the field of real-time and embedded systems
Autonomous driving or ADAS experience
Proven track record of publications in relevant conferences (CVPR, NIPS, ICCV, ICRA, Fusion) showing the capability to develop leading competitive solutions
German language skills
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.
Your Benefits at Aptiv:
Learning and professional development in an international environment
Access to internal and external training, coaching, and certifications
Recognition for innovation and excellence
Health-focused benefits: health days, discounts at local gyms, and additional accident insurance
Price deductions from providers like Samsung, Adidas, and Fitness First
Apply today, and together let’s change tomorrow!
#CA-KK
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.
Requirements
Additional Information
- Website for additional job details
https://www.hipeac.net/jobs/14528/radar-mlai-engineer-fmd/
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Aptiv Services Deutschland
- Country
- Germany
- City
- Wuppertal
- Geofield
Where to apply
- Website
https://www.aptiv.com/en/jobs/search/open-positions/J000661483
Contact
- City
Wuppertal- Website
https://www.youtube.com/aptiv
https://www.aptiv.com/en/
https://twitter.com/aptiv
https://www.linkedin.com/company/aptiv
STATUS: EXPIRED
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