Core Simulation Engineer - Mid Level
Listed on 2026-05-31
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Engineering
Software Engineer
About Pratt Miller, An Oshkosh Company
Pratt Miller is a product development company in motorsports, defense, and mobility industries providing clients with product engineering and low‑volume production solutions. Our range of research & development, engineering, prototype manufacturing, test & validation, and low‑rate production capability help our customers bring their high‑quality products to market faster.
The Core Simulation Engineer develops, validates, and deploys high‑fidelity, numerically efficient multibody vehicle models and simulation tools to support vehicle performance analysis and development across a range of environments. The primary simulation capabilities include:
- Dymola‑based vehicle and subsystem modeling libraries for desktop, XiL, and real‑time applications
- Lap time simulation (LTS) tools
- Simulation workflows for tool chain integration
- Vehicle dynamics analysis processes and tools
This role also leads correlation and continuous improvement efforts, contributes to simulation infrastructure, and collaborates cross‑functionally while providing expertise to internal teams and customers.
Essential Duties and Responsibilities- Develop and maintain numerically efficient multibody models of vehicles, subsystems, and tires in Dymola/Modelica to enable high‑quality simulation and analysis.
- Adapt and optimize simulation models for multiple environments, including desktop, real‑time, XiL (MiL/SiL/HiL), and Driver‑in‑the‑Loop (DiL) applications.
- Design, enhance, and support simulation workflows, model architectures, and analysis utilities, ensuring seamless integration within the broader Pratt Miller vehicle performance ecosystem.
- Develop and advance lap time simulation tools, methodologies, and workflows with a focus on accuracy, robustness, and computational efficiency.
- Lead correlation activities by comparing simulation results to track and rig test data, continuously improving model fidelity and predictive capability.
- Diagnose and resolve model performance, numerical stability, and correlation issues; communicate gaps and improvement opportunities to the core development team.
- Execute simulation studies to support development efforts, synthesizing results into clear, concise technical reports and recommendations.
- Maintain model quality through rigorous documentation, version control, and validation practices.
- Serve as a subject‑matter expert in vehicle dynamics and simulation, providing technical guidance to engineers and customers.
- Collaborate cross‑functionally with vehicle dynamics, controls, software, and test teams to align simulation capabilities with broader program objectives.
- Partner with internal programs and external customers to deploy, apply, and support Pratt Miller simulation products and capabilities.
- Attendance at Pratt & Miller meetings.
- Education and training.
- Provide feedback on product needs and processes.
- Support Pratt Miller initiatives, marketing events, and general development as necessary.
- BS, MS, or PhD in Mechanical Engineering, Automotive Engineering, Applied Mathematics, or a related field.
- At least 3 years of professional or academic experience in automotive engineering and simulation (motorsports preferred).
- Strong background in vehicle dynamics.
- Strong foundation in vehicle dynamics, multibody dynamics, rigid‑body mechanics, tire modeling, and applied mathematics for dynamic systems.
- Hands‑on experience developing and maintaining multibody vehicle models for motorsports or high‑performance applications.
- Experience with Dymola/Modelica or similar multibody simulation environments.
- Experience developing lap time simulation tools and associated workflows.
- Experience with model correlation and validation using track, rig, and test data.
- Ability to develop accurate, numerically efficient models for desktop, real‑time, XiL, and DiL applications.
- Experience building and improving simulation tool chains, model frameworks, and analysis utilities.
- Familiarity with tire modeling methods and parameterization approaches (e.g., Pacejka or similar).
- Background in classical controls; exposure to…
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