Senior Software Engineer - Behaviors

Torc Robotics • Fort Worth, MI

4d • Hybrid

About The Position

Join Torc's Behaviors Team, where we develop the planning, prediction, and decision-making systems that determine how our autonomous trucks navigate the world safely, efficiently, and predictably. Our team operates at the intersection of robotics, machine learning, optimization, simulation, and safety, building the core autonomy capabilities that translate perception into action. We are seeking a Senior Software Engineer who is passionate about solving challenging autonomy problems and building production-quality software for real-world autonomous systems. In this role, you will contribute directly to the design, development, validation, and deployment of planning and prediction capabilities that enable safe and reliable autonomous driving. You will work closely with engineers across autonomy, controls, simulation, safety, and validation to help deliver robust autonomy behaviors at scale.

Requirements

• Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field with 5+ years of industry experience; OR Master's degree with 3+ years of experience; OR PhD with 1+ years of experience.
• Strong proficiency in modern C++ development within Linux-based environments.
• Experience developing robotics, autonomous vehicle, ADAS, or other complex real-time software systems.
• Experience designing and developing motion planning, behavior planning, prediction, decision-making, or related autonomy capabilities.
• Strong understanding of software engineering fundamentals, system design principles, and scalable development practices.
• Experience working across the full software development lifecycle, from design and implementation through validation, deployment, and operational support.
• Strong problem-solving skills and the ability to debug complex system-level issues.
• Excellent communication and collaboration skills within cross-functional engineering teams.
• Ability to work independently while contributing effectively within a highly collaborative environment.

Nice To Haves

• Experience with motion planning, trajectory optimization, behavior prediction, or decision-making systems for autonomous vehicles.
• Experience with optimization and controls-based techniques such as Model Predictive Control (MPC), trajectory optimization, or numerical optimization methods.
• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or hybrid planning architectures.
• Understanding of vehicle dynamics, controls, state estimation, and trajectory tracking.
• Experience developing software in both C++ and Python environments.
• Experience integrating machine learning models into real-time or production systems.
• Experience working with simulation platforms and large-scale autonomy validation environments.
• Experience supporting on-vehicle testing, debugging, and deployment activities.
• Passion for autonomous vehicles, robotics, and solving complex real-world engineering challenges.

Responsibilities

• Design, develop, and maintain planning and prediction systems, including trajectory generation, behavior prediction, decision-making, and motion planning algorithms for autonomous trucks.
• Contribute to the evaluation and development of planning approaches, including optimization-based, learning-based, and hybrid architectures.
• Develop production-quality software using modern C++ within a Linux environment while adhering to quality, safety, testing, and deployment best practices.
• Participate in software architecture discussions and contribute to technical designs that support scalable and maintainable autonomy systems.
• Develop and execute validation strategies across Software-in-the-Loop (SiL), Hardware-in-the-Loop (HiL), and Vehicle-in-the-Loop (ViL) environments.
• Collaborate closely with Safety, Controls, Perception, Validation, and Simulation teams to develop safe and reliable autonomous driving behaviors.
• Investigate and debug vehicle behavior by reproducing issues in simulation, analyzing system performance, and implementing software improvements.
• Support vehicle integration, deployment activities, and post-deployment investigations to ensure reliable autonomy performance.
• Participate in technical design reviews, code reviews, and continuous improvement initiatives across the Behaviors organization.
• Mentor junior engineers through collaboration, technical guidance, and knowledge sharing.

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)
• Company-wide holiday office closures
• AD+D and Life Insurance
• Sign-on payments
• Relocation assistance

What This Job Offers

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