ML Engineer

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team

Accurate and highly available information about other actors and objects is fundamental to the safe operation of autonomous trucks. Core capabilities depend on accurate tracking estimates to ensure safe and efficient vehicle behavior.

The Tracking Team develops the ML models, state estimation algorithms, and production software responsible for associating and estimating the kinematics of other actors and objects in real time. Our solutions fuse information from multiple sensors and maintain robust performance despite sensor imperfections, environmental challenges, and system degradation. As part of this team, you will develop and deploy production-ready tracking solutions and help solve the challenges of bringing autonomous vehicle technology to real-world commercial applications.

What You'll Do 

• Design, develop, and deploy production ML models for mulit-object tracking, including association, learned pose and kinematic estimation, and sensor fusion using camera, LiDAR, radar, and other vehicle sensors.  

• Develop scalable training and evaluation workflows using PyTorch, distributed training infrastructure, and large-scale real-world datasets.  

• Design and improve tracking and sensor fusion algorithms for robust vehicle pose and kinematics 

• Analyze large-scale vehicle data to characterize performance, identify failure modes, and drive model and system improvements.  

• Develop robust, efficient production software in modern C++ and Python across the full development lifecycle.  

• Define evaluation, verification, and validation strategies to ensure Tracking quality, robustness, and safety across diverse operating conditions.  

• Make technical design and architecture decisions, balancing model performance, computational efficiency, robustness, and production constraints.