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.

As an organization at the forefront of autonomous driving, we have gathered vast amounts of valuable sensor data that provide a deep insight into various driving environments and scenarios. Within the AI Foundation Department our strategic response is to integrate foundational computer vision techniques to harness its full potential and drive its capabilities further ahead to adhere to future needs.
Therefore, we are actively searching for one PhD candidate with a passion for generative neural networks, simulation and training large foundational models. This role will be pivotal in refining and enhancing our data assets to extract maximum value. With a wealth of sensor data at hand, the application of generative neural networks stands as a promising avenue. These networks with allow for techniques such as self-supervised learning and can identify intricate patterns and nuances, while relaying less on labeled datasets laying the groundwork for more intelligent, data-driven decision-making. In that respect you will will collaborate with many internationally renowned research organizations in the United States and Germany, pushing the state-of-the-art what we can do with today’s sensors and algorithms, take part in international conferences and publish your work accordingly.

 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.