Position: Solution Architect Deep Learning Engineer – CV / ML IRC169438
Company: GlobalLogic
Category: Lead
Experience required: 5y
English level: upper

GL has been developing standalone telematics solutions for vehicle connectivity, letting car drivers enjoy the newest automotive features, innovative safety navigation, and entertainment services. Multiple teams work for a well-recognized world-class customer for 6 years now.

Requirements:
We are looking for a skilled Deep Learning architect for the following project types.

VRU classification
Road, parking slot classification
Vehicle classification
Object Detection
Trailer Detection
Traffic Signs/Lights
Lane detection
ISP tuning
Localization
multitask learning
transformers
Optimizing DL models with Tensor RT: Lane detection, Road Signs recognition.
Segmentation of drivable area and path planning based on common car steering models, eg. the Ackermann model.
Required Skills

Strong C++, Python, and C programming skills for clean, well-documented, and robust code
Excellent English language communication skills, both written and verbal.
Experienced with version control software, code review, and bug tracking systems.

Preferences:
OpenCV, Python, Tensorflow, Keras, PyTorch


Responsibilities:
Perform state-of-the-art research into deep learning
Work with data engineers to ensure optimal data acquisition, data integrity, and data pipelines
Design, develop, train, and optimize Deep Neural Networks for embedded platforms.
Perform statistical analysis
Contribute to design reviews with colleagues