Staff Engineer for Mapping and Localization (f/m/d)

Aptiv · Wuppertal, Germany

Company

Aptiv

Location

Wuppertal, Germany

Type

Full Time

Job Description

Staff Engineer for Mapping and Localization (f/m/d)

Aptiv is one of the leading Automotive suppliers and the forefront of solving mobility's toughest challenges. With over 170.000 Employees in 45 countries 127 manufacturing facilities and 14 technical centers, we have the people, experience, know-how and confidence to turn ideas into solutions. As a large technology company, we are looking for a new talent for one of our leading Tech Centers for AI in Wuppertal, Germany. We offer the chance to work in a challenging technical environment where science is transferred into real products. There, you can 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.

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Your tasks:

Good localization is essential to plan the future course of automotive vehicles. Now consider, that these vehicles can not only consume map data but on the other hand can also create maps. We are looking for a passionate experienced engineer with the mathematical background and experience in localization and mapping techniques, in order to develop the next generation of localization and mapping algorithms, not only able localize the host vehicle on a given map, but also to automatically build a map using camera and radar sensors to use the data in future drives.

We are looking for an experienced engineer with a good overview and a deep mathematical understanding the different techniques in localization and mapping, who would like to apply their knowledge on real world data to build a map of the world. The candidate should bring a hands-on attitude, good programming skills and good communication skills and with experience also be able to help younger team members.

If you want to apply your knowledge in the real world and on real data to build a map of the world, then don't miss this opportunity, there are not many jobs out there like this!

Your background:

  • 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
  • Fluent programming skills and experience in programming with a modern programming language, such as C/C++, Cuda, Python
  • Experience with software development as part of a large team
  • Work experience with in at least one of the points:

    • SLAM or Structure from Motion methods
    • Modern radar signal processing methods
    • Machine learning & Deep Learning
  • Experience in deep learning toolkits like Pytorch, Tensor Flow, etc.
  • Experience in the field of real-time and embedded systems
  • ADAS experience
  • Proven track record of publications in relevant conferences (CVPR, NIPS, ICCV, ICRA, Fusion, ...) showing the capability to develop leading competitive solutions.

Aptiv Benefits:

  • 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

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

Apply today, and together let's change tomorrow!

#CA-UH

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.

Apply Now

Date Posted

10/05/2024

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