Moving Mobility Forward
Aptiv is making mobility real. We’re at the forefront of solving mobility’s toughest challenges. We have the people, experience, know-how and confidence to turn ideas into solutions. Solutions that move our world from what’s now to what’s next, while connecting us like never before. To us, nothing is impossible when you have the people with the passion to make anything possible. Mobility has the power to change the world, and we have the power to change mobility.
Join Our Innovative Team
Want to do more than just imagine the ways our world will move tomorrow? Here’s your opportunity. Join the technology company that’s transforming the future of mobility today.
About Aptiv
Aptiv is a global technology company that develops safer, greener and more connected solutions, which enable the future of mobility. Headquartered in Gillingham, England, Aptiv has 147,000 employees and operates 14 technical centers, as well as manufacturing sites and customer support centers, in 45 countries. Visit aptiv.com
Advanced Safety and User Experience provides critical components, systems and advanced software for passenger safety, security, comfort and infotainment, as well as vehicle operation, including body controls, reception systems, and connectivity systems, hybrid vehicle power electronics, passive and active safety electronics, displays, and mechatronics. We enable Aptiv to be a world leader in Advanced Driver Assistance programs and automated driving. Divisional HQ: Wuppertal, Germany
About This Position
We are an exceptional team of software engineers looking for a sensor modeling expert with knowledge of artificial neural network techniques to join our team and assist with the development of a cutting edge platform used to validate autonomous vehicle technology.
Responsibilities & Duties
- Develop, maintain, & iteratively improve lidar & camera models for autonomous vehicle simulations
- Develop & train neural networks to detect objects & features in video streams from camera models
- Analyze & validate the accuracy of the lidar & camera models by comparing results to real world data
- Analyze & document how neural networks perform differently on real world & synthetic video data
- General software development support for an autonomous vehicle simulation platform
