Software Engineer - Vision

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. You’ll work with an experienced team of people who are committed to creating safer roads and saving lives, and your contributions will have an unequivocal impact on the future of trucking and autonomous technology. 

Meet the Team: 

The Perception team is responsible for developing perception algorithms to detect and identify objects for Torc's autonomous driving systems, allowing the system to understand and react to the environment around the vehicle in real-time. Our algorithms utilize 3D point cloud data from LiDAR and objects detected in radar returns. The team also implements the sensor fusion algorithms that combine this data and provide probabilistic state estimation. 

What you’ll do: 

In this role engineers are responsible for various software development and engineering activities supporting the delivery of autonomy algorithm software to the overall system solution within Perception area utilizing computer vision and machine learning techniques and skill set. 

• Responsible for executing full software development lifecycle activities using primarily C++ skills in Linux development environment using Lean-Agile methodologies 
• Responsible for completing software assignments including but not limited to software design, implementation, unit testing, vehicle testing and deployed software maintenance. 
• Assist in root cause analysis of issues found in vehicle testing 
• Support team in identifying daily assignments and reporting progress at daily stand ups. 
• Support software and system level test plans and verification strategies to support ongoing feature development and bug fixes. 
• Responsible for ensuring software updates do not regress the software performance by utilizing simulation software and scenarios. 
• Update simulation software and scenarios for new features or situations encountered in testing software 

What you’ll need to Succeed: 

• Bachelor’s degree in Computer Science, Computer Engineering, Robotics Engineering, Mechanical Engineering, or engineering equivalent and 6 years experience. 
• Proficient in working with deep learning frameworks like (Pytorch or TensorFlow) and TensorRT 
• Experience with end-to-end computer vision development pipeline which includes researching the novel approach, developing the model to and making it production ready.  
• Hands-on experience with Perception Sensors such as Camera (required) and Lidar (optional). 
• Professional level proficiency in modern C++ programming language and experience with C++ development stack. 

Bonus Points! 

• Master's degree with minimum 3 years’ experience with computer vision and deep learning OR Relevant PhD Degree with research in computer vision and deep learning 
• Working knowledge and experience developing within Scrum or Kanban workflow 
• Working knowledge of advance modern C++ programming language features and experience with CUDA (GPU Programming) programming 
• Experience with Lidar/Camera calibration development 

Perks of being a Torc’r 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and their future. Additionally, we are always open to suggestions to accommodate individual employee needs.  Torc offers: 

• Full coverage of monthly medical premiums for full-time employees 
• Medical/dental/vision/ AD+D and Life Insurance 
• 401K plan with employer matching 
• Annual learning and development stipend 
• Leadership development training 
• Collaborative, energetic, and team-focused work environment 
• Flexibility in schedule and generous paid vacation 

 #IND