Software Engineer, Mission Interface

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
The Mission Interface Software Engineer plays a key role in delivering Vehicle Intent software into the automated driving system at Torc.  This role focuses on developing high-quality, production-ready software that enables our Mission Control and Remote Assistance teams to interact with the self-driving truck’s software stack capabilities.  In this position, you are expected to demonstrate technical leadership, operate with a high degree of autonomy, and drive cross-team initiatives across software, systems, and product domains.  The software developed in this role directly enables communication with and command over our vehicles to sense their surroundings, respond intelligently when necessary, and help keep the system operating safely — advancing Torc’s mission to commercialize self-driving trucks for safe, sustained, long-haul innovation in the freight industry.
What You’ll Do

• Design, implement, and optimize software that creates the interface between Autonomy and the Mission Control, Remote Assistance, Route Advisor, and On Truck Management systems to allow for mission management from planning, initiating, and updating missions to tracking progress and monitoring performance through telemetry 
• Lead the development of real-time C++ software components that that enable vehicle guidance and status monitoring of the self-driving truck 
• Translate system-level requirements into robust, scalable software architectures and algorithms through corresponding component level requirements and verification artifacts 
• Contribute to simulation and testing frameworks for validation of algorithms under diverse operational design domains (ODDs) 
• Collaborate with cross-functional teams (back office, perception, controls, safety) to ensure end-to-end system integration 
• Mentor and guide peers through technical reviews, best practices, and hands-on collaboration 
• Stay current with research in global route planning and analytical planning methods.  Contribute to integration of machine learning techniques where appropriate (e.g., route-rerouting, learned cost models, behavior prediction, reinforcement learning for tactical decision making).