Staff, Software Engineer - Simulation Vehicle Modeling

<div> <p><strong>About the Company</strong>&nbsp;</p> <p>At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.&nbsp;A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. <a href="https://torc.ai/daimler-testing-automated-trucks-public/">Now a part of the Daimler family</a>, 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.&nbsp;</p> </div> <div><strong>Meet the Team</strong></div> <div>&nbsp;</div> <div>At Torc, our simulation teams are building the foundation for AV 3.0 driver-out development and certification. This team serves as the critical technical interface between simulation/modeling and autonomy consumers. By ensuring model fidelity, coverage, and usability, the team plays a vital role in evaluating and advancing autonomous driving software. We support massive-scale, parallel execution for scaled verification and validation (V&amp;V) and high-throughput reinforcement learning (RL) training. Ultimately, we provide the framework and tooling that serves Autonomy, Safety, and Release with shared artifacts, common metrics, and deterministic reproducibility.</div> <div>&nbsp;</div> <div><strong>What You'll Do</strong></div> <ul> <li>Own and evolve the technical architecture for scalable vehicle modeling and simulation — extensible across vehicle types, sensor platforms, and fleet variability as Torc's autonomy program grows.</li> <li>Develop and own high-fidelity truck and vehicle dynamics models (longitudinal, lateral, and transient behavior) spanning nominal, off-nominal, and failure-mode simulation domains.</li> <li>Define and drive the statistical validation metrics that directly support Safety Case claims, ensuring model fidelity and coverage meet the bar required for driver-out certification.</li> <li>Design and scale robustness testing frameworks — including controller/planner interaction testing — to stress-test autonomy software at the fidelity and throughput required for large-scale V&amp;V and RL training.</li> <li>Design, develop, and maintain high-fidelity simulation platforms used to validate autonomous driving software in closed-loop evaluation pipelines at scale.</li> <li>Partner with autonomy engineering teams to capture and implement vehicle model requirements supporting planning, controls, and system-level V&amp;V activities.</li> <li>Own model capability commun