Software Engineer II, Mission Interface

Torc Robotics • Ann Arbor, MI

3h • $139,000 - $166,800

About The Position

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.

Requirements

• 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

Nice To Haves

• 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 the loop, hardware in the loop, and vehicle testing
• Research/industry experience in robotics or autonomy.

Responsibilities

• 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.

Benefits

• A competitive compensation package that includes a bonus component and stock options
• 100% paid medical, dental, and vision premiums for full-time employees
• 401K plan with a 6% employer match
• Flexibility in schedule and generous paid vacation (available immediately after start date)
• AD+D and Life Insurance
• sign-on payments
• relocation
• other forms of compensation may be provided as part of a total compensation package

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level