Source Job

• Develop and optimize computer vision algorithms for road model detection.
• Design and implement deep learning models for road model inference in BEV frameworks.
• Collaborate with robotics, software, and hardware engineering teams for seamless integration.

Torc has been a leader in autonomous driving since 2007, commercializing solutions with experienced partners and now focused on developing software for automated trucks.

• Develop machine learning models that interpret and predict road and lane structures.
• Work with multi-modal sensor data, including cameras, LiDAR, and radar, to create 3D representations of driving surfaces.
• Optimize algorithms for real-world deployment, influencing vehicle navigation and safety.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Design, implement, test, and deploy offline object detection, tracking, and fusion modules to automatically create annotations on Cloud Services from recorded sensor data. Define and implement the ingestion, preparation, curation, and governance of large multidimensional datasets in support of analytical models and workflows. Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce turnaround time and strengthen operational reliability.

Torc has always believed that autonomous vehicle technology will transform the way we travel, transport goods and do business and is now part of the Daimler family.