Company Overview
The Computer Vision Department is responsible for developing custom-built state-of-the-art algorithms intrinsically designed to leverage the full power of today's most advanced multi-core automotive embedded platforms. Computer vision functions including 3D object detection, pedestrian and vehicle classification, trajectory mapping, online calibration, lens soiling detection, collision mitigation, lane and park-slot detection, and much more feed into a detailed map of the vehicle's environment via advanced sensor fusion. The department applies state-of-the-art computer vision techniques to the automotive domain; object detection, classification, structure-from-motion, localisation & mapping, and machine & deep learning. The team specialises in redefining state-of-the-art computer vision and delivering next-generation advanced driver‑assist and automated driving systems for leading European, American and Asian OEMs.
Position Overview
As a deep learning engineer, you will be responsible for the development of deep learning solutions enabling the next generation Automated Driving Platforms. Deep learning will be applied to classify all objects, road markings and surfaces in the vehicle environment. You will develop state-of-the-art deep learning algorithms providing unprecedented scene understanding and remain abreast of technological developments in the rapidly expanding field of deep learning and its application in automotive.
Responsibilities
Deep Learning network development and training
Select appropriate datasets and data representation methods
Work with data engineers and analysts to ensure optimal data acquisition, data integrity and data pipelines
Perform statistical analysis and fine‑tuning using test results
Develop and maintain a relationship with university counterparts
Required Skills/Experience
BSc degree, or MSc degree, or PhD in any area with a focus on deep learning
Understanding of fundamental computer vision algorithms and approaches, with a focus on machine learning
Excellent English language communication skills, both written and verbal
High level of innovation and motivation
Desired Attributes
Academic publications in relevant field
Understanding of data structures, data modelling and software architecture
Proficiency with Python, machine learning frameworks (Keras or PyTorch) and libraries (e.g., scikit‑learn)
Proficiency with OpenCV
Familiarity with Linux
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem‑solving skills
Experience developing software for embedded platforms
Experience with version control software
Experience with imaging or optics systems
#J-18808-Ljbffr