Sr. System Test Engineer - Simulation Remote - U.S, Ann Arbor MI

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 part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Meet the Team Join our Systems Test team, where we validate the safety and performance of Torc’s autonomous driving system through simulation, virtual testing, and data-driven validation. Our team works at the intersection of perception, planning, systems engineering, and safety, ensuring that autonomous behavior is thoroughly tested across a wide range of real‑world and edge‑case scenarios before deployment. What You’ll Do As a Senior Simulation Test Engineer, you will contribute to the development and execution of scenario‑based validation strategies, leveraging simulation to evaluate system performance, identify gaps, and improve overall robustness. You’ll collaborate closely with cross‑functional teams across autonomy, systems, and safety to ensure that simulation insights translate into meaningful improvements in the real‑world behavior of our vehicles. Contribute to the planning and execution of simulation‑based test campaigns for autonomous vehicle V&V efforts Collaborate with Product, Systems, and Safety teams to support simulation‑driven validation strategies Develop, maintain, and expand Torc’s Scenario Library, including Abstract, Logical, and Concrete scenarios to improve ODD coverage Identify testing gaps and propose improvements to simulation tools, environments, and test frameworks Partner with internal tools teams and external vendors to enhance simulation and virtual testing capabilities Perform analysis and triage of simulation results, including development of dashboards and reports to communicate findings to stakeholders What You’ll Need to Succeed Bachelor’s degree with 6+ years of experience, or Master’s degree with 3+ years of experience in Computer Science, Robotics, Systems Engineering, or related field Experience with simulation and virtual testing of perception and/or autonomous driving systems Experience developing scenarios aligned with OpenSCENARIO standards, including Abstract and/or Logical scenarios Experience developing test cases and test procedures for complex systems Proficiency in Python scripting and YAML, including data analysis and automation workflows Strong experience with system‑level debugging, fault isolation, and analysis Proficiency working in a Linux environment Working knowledge of probability and linear algebra Ability to communicate test results clearly and collaborate effectively across teams Familiarity with state‑of‑the‑art approaches to autonomous vehicle validation Bonus Points Experience in automotive or safety‑critical system validation Experience developing or validating sensor models, traffic models, or vehicle dynamics models Experience with ROS (Robot Operating System) Experience mentoring junior engineers or contributing to team best practices Work Location For this position, we are open to hiring in Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States. Perks of Being a Full‑time Torc’r 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 Equal Employment Opportunity Statement At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. #J-18808-Ljbffr