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:

Design, develop, integrate, and test state-of-the-art vehicle simulation technology to support virtual driver and perception component development and testing of autonomy software for self-driving trucks. 

What you will do: 
You will shape the future of autonomous trucking by extensively contributing to our advanced simulation framework. In this role, you will be responsible for applying state-of-the-art approaches for vehicle simulation in a scalable production setting, adapting high fidelity vehicle model, maintaining our in-house vehicle model, and contributing to expanding the in-house vehicle model and adding new capabilities 

You will work with other engineers to integrate the simulation tools and the autonomy stack to expedite the development process and validate our final products. You will be instrumental in growing the robustness and safety of our self-driving technology. 

• Deliver key contributions to design, architecture and implementation of a simulation framework that allows efficient and reliable autonomous driving testing 

• Research new techniques and incorporate them into the development process 

• Advance modern simulation recompute techniques for perception and vehicle intent testing based on annotated real data and synthetic rendered data 

• Identify testing gaps and derive requirements for new or improved simulation tools, vehicle simulation environments coverage and test frameworks 

What you’ll need to Succeed: 

• BS, MS, in Mechanical Engineering, Robotics Engineering, Computer Science, Computer Engineering, Systems Engineering, or engineering equivalent 

• 4+ years of software development experience 

• Vehicle dynamics knowledge 

• 2+ years of software systems integration and testing experience 

• Strong programming experience in C++ 17 or newer and using Python for data analysis 

• Working knowledge of ROS2 for autonomous SW development and simulation tooling 

• Proficiency with behavior trees 

• Full life cycle software development including unit and software integration testing and configuration management. 

• Working knowledge of Test-Driven Development Methodology and test framework architectures 

• Experiences with Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) simulation and testing methodologies 

• Proficiency with programming under Linux and Linux command line functions 

• Experience using Git 
• Record of accomplishment in building and shipping products or open-source projects 

Bonus Points! 

• Experience developing SW for autonomous driving functions, e.g. to solve perception, localization, behavior tasks for a self-driving vehicle 

• Experience developing traffic vehicle models, and vehicle dynamics models in a vehicle simulation environment (i.e., game engine or other similar simulation environment) 

• Software and system troubleshooting and problem-solving with specific focus on system-level analysis, fault isolation and identification 

• Kanban, Scrum or Scaled Agile development 

• Experience with Bazel 

• Technical leadership experience 

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.