Source Job

• 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.

• Lead development of models for autonomous vehicles to perceive and interpret road geometry.
• Define next-generation deep learning architectures for extracting road and lane semantics from sensor data.
• Develop evaluation frameworks for lane and road geometry accuracy and cross-domain generalization.

Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family, focusing solely on software development for automated trucks.

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.

• Convert and Ship CVML R&D ideas to Axon Products.
• Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of visual data.

Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.

Design, develop, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion using camera, LiDAR, and radar data. Collaborate with robotics and mapping teams to integrate localization models into real-time autonomy stacks with strict performance requirements. Contribute to system design, documentation, best practices, and code reviews across ML and autonomy teams.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities.