Search all jobs
Browse jobsAnn Arbor, MI › Software Engineer II, Mission Interface

Software Engineer II, Mission Interface

Torcrobotics · Ann Arbor, MI · Posted Jul 6, 2026

Apply on company site   Track it in JobSkout

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. I n 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 saf e ly — 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).

Drive continuous improvement in software quality, safety, performance, and development processes

Support safety-critical development practices aligned with automotive standards and production release requirements

Communicate technical concepts clearly to non-technical stakeholders.

What You’ll Need to Succeed

Bachelor’s Degree in Computer Science , Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;

Master’s Degree in Computer Science , Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1-3+ years of experience.

Strong C++ programming skills (C++14/17 or later) with experience in real-time, safety-critical, or high-performance applications

Knowledge of vehicle dynamics and kinematic models (e.g., bicycle model, Ackermann steering, dynamic feasibility)

Ability to write clean, maintainable, and testable code with an emphasis on software engineering best practices

5+ years experience with the architecting, design, and implementation of embedded software solutions leveraging these aspects:

Producing scalable code in C++

Optimizing code for speed, memory usage, etc.

Validating the solutions by means of unit and/or systems level testing

Creating technical documentation to communicate solutions

Bonus Points

Familiarity with fundamental AV/ADAS components and concepts.

Experience with observability and visualization platforms (e.g., Datadog, Tableau, Foxglove) for telemetry monitoring, system performance analysis, or sensor/log data visualization

2–5 years of professional Python development experience doing solid, hands-on Python development, including writing production-quality code, code reviews, and working within a larger codebase

Experience with robotic/autonomous frameworks (ROS/ROS2, Autoware, Apollo, etc.) and communication protocols like CAN and Ethernet

Understanding of safety and software engineering standards (ISO 26262, SOTIF, ASPICE, CMMI) and validation methodologies

Can execute testing on various test platforms: software in th…

Apply on company site