At Torc, we have always believed that autonomous vehicle technology will transform how we travel, ship goods, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing their autonomous solutions with experienced partners. Now a part of the Daimler family, we are developing automated trucks to transform transportation.
Join us and take your career to new heights with a company that helped pioneer autonomous technology. You’ll work with an experienced team of people who are committed to creating safer roads, and your contributions will have an impact on the future of transportation.
About the Role:
We are looking for a software engineering student to help build the high-level decision-making systems for our automated vehicles.
As a member of the Behaviors team, you'll help build solutions to improve how our vehicles behave in various driving situations. We'll rely on you to help develop the next generation algorithms while working closely with a team of passionate engineers.
- Enhance motion control and path planning algorithms for next generation autonomous driving
- Develop high-level decision structures to manage the goals and regulations of autonomous driving
- Benchmark and test performance of algorithms on Torc's automated vehicles
- Add new capabilities for both on-road and off-road driving
Candidate is expected to work 40 hours a week for the duration of their co-Op.
Must be willing to be based locally in Blacksburg, VA for duration of Co-Op.
- Full-time student pursuing an undergraduate or graduate degree in Computer Engineering, Mechanical Engineering, Robotics, or related technical field
- Interest in motion control or automated vehicle development
- Strong C++ programming skills
- Strong problem-solving skills – ability to troubleshoot complex software and systems to identify the root cause of the issue
- Interest in graph theory and search algorithms
- Interest in vehicle kinematics/dynamics
- ROS (Robot Operating System) experience
- Exposure to various digital filtering algorithms
- Exposure to Bayesian statistics/estimation methods
- Exposure to control loop design and tuning
- Cross platform development including OS (Windows/Linux) and hardware (x86/ARM)
- Unit testing and continuous integration
- GPU processing optimization