The Principal Engineer in AA will develop machine learning components for autonomous vehicles to enhance localization accuracy using sensor fusion and mapping techniques.

Design, build, and optimize ML models for localization in autonomous vehicles, collaborating with teams to ensure robust performance and stability.

As a Tax Manager, you'll oversee tax compliance and accounting, manage service providers, and lead the tax function for Torc Robotics, ensuring accurate reporting and regulatory compliance while coordinating with various business areas.

Lead the development of BEV models for perception in autonomous driving. Drive model innovation, training workflows, and mentor ML engineers in a collaborative environment.

Lead End-to-End model design and development for autonomous driving, integrating multi-modal sensor inputs to optimize driving decisions through advanced machine learning techniques.

Lead the design and development of end-to-end models for autonomous driving, enhancing performance through large-scale machine learning pipelines and multimodal sensor integration.

Lead the development of advanced multimodal BEV perception models, integrating camera, LiDAR, and radar data for autonomous vehicle technology.

As a Senior Engineer in machine learning, you will design, maintain, and improve autonomous vehicle frameworks, focusing on data processing, ML pipeline development, and cloud operations.

The job involves building ML infrastructure, deploying learned behavior models, and integrating them into simulation workflows for autonomous systems.

Design and implement modules for offline object detection and tracking. Oversee project management and mentor junior team members. Develop algorithms for perception using software development processes, and maintain high-quality data annotations.

Design and develop offline perception models for autonomous vehicles, manage projects, guide team members, and ensure quality of data annotations.

Develop and maintain ML frameworks for autonomous vehicle solutions, focusing on scalability, data ops, and ML pipelines using tools like AWS and Ray.

Lead the development and deployment of reinforcement learning-based behavior models for autonomous trucks, collaborating with perception, prediction, and safety teams to ensure effective decision-making in real operations.

Design and optimize ML models for localization in autonomous trucks using sensor fusion and map-based techniques. Collaborate with teams to enhance model robustness and integrate into the autonomy stack.

Lead the Hardware Acceleration team, optimizing ML inference on embedded hardware, and guiding a high-performing engineering team through effective leadership and technical expertise.

Lead the design and deployment of E2E ML architectures for autonomous driving, focusing on datasets and system intelligence improvements. Mentor teams and establish evaluation frameworks.

Lead the development of BEV models for perception, integrate multi-modal sensor data, and drive model innovation while mentoring engineers.

As a Staff Learned Behaviors ML Engineer, you will lead the development of reinforcement learning behavior models for autonomous trucks, define data strategies, mentor other engineers, and drive best practices in model development.

As a Senior ML Engineer at Torc, you will develop and maintain ML frameworks, enabling advanced solutions for autonomous vehicles and improving ML platforms.

Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.