Staff Vehicle Dynamics Modeling – Simulation Modeling Engineer

What To ExpectAs a Vehicle Dynamics Simulation Engineer at Tesla, you will be at the forefront of developing the tools that define the performance of our next-generation vehicles. This role is a unique opportunity to merge your passion for vehicle dynamics, software development, and simulation to directly impact products that accelerate the world's transition to sustainable energy.You will be a key contributor to our advanced simulation toolchain, working from first principles to model complex vehicle behaviors. Your expertise will be crucial in creating our next generation of high fidelity simulation models. This position requires a meticulous, data-driven engineer who thrives in a fast-paced, collaborative environment and is committed to solving the most challenging problems in vehicle performance.What You'll DoDesign, validate, and deploy high-fidelity multibody vehicle dynamics models to drive innovation in ride quality, handling, and driver control systemsDevelop scalable, model-based engineering tools (e.g., Python, C/C++) to automate analysis, optimize designs, and accelerate cross-functional workflowsLead the creation and maintenance of simulation/modeling standards and best practices, ensuring consistency and efficiency across teamsArchitect CI/CD pipelines (using Git, Docker, Jenkins) for rapid iteration, testing, and deployment of vehicle dynamics modelsCollaborate with cross-functional teams (vehicle controls, chassis, firmware and autopilot etc) to integrate models into system-level designs and validate performance in SiL/HiL/DiL environmentsChampion methodology improvements by evaluating emerging tools and numerical techniques to enable faster, data-driven engineering decisions Mentor junior engineers and act as a technical authority for model integration, solver optimization, and multi-physics co-simulation standardsWhat You'll BringA Bachelor's or advanced degree in Mechanical/Aerospace Engineering, Computer Science, or a related fieldDeep expertise in vehicle dynamics and multibody modeling, with a track record of translating physics-based simulations into real-world performance gains5+ years of experience in multibody vehicle dynamics modeling and system-level simulation5+ years of Modelica library development for commercial or enterprise-grade applicationsDemonstrated expertise with FMI/SSP standards and tools like Dymola, OpenModelica or similarProficiency in Python, C/C++, and version control systems (Git) for simulation automationExperience designing CI/CD pipelines for model deployment and regression testingLeadership in agile environments, balancing technical rigor with practical constraints to deliver robust, production-ready solutions, Tesla