Vehicle Simulation Software Engineer
Motive Companies
13 days ago
Contract
On-site
Santa Clarita, California, United States
$1,730.77 - $1,730.77 USD yearly
Software Development
Vehicle Simulation Software Engineer – Motorsports Industry Leader
Location: Santa Clarita, CA
Weekly Flat Rate: $1,730.77 – $2,307.69 (DOE)
Our client, a premier motorsports organization in Santa Clarita, is seeking a Vehicle Simulation Software Engineer to support and enhance the performance of their state‑of‑the‑art testing facilities. This is a high‑impact role within an elite racing environment, contributing directly to advanced vehicle development programs.
Position Overview
The Vehicle Simulation Software Engineer will design, develop, maintain, and refine mathematical models and analysis tools used for vehicle performance simulation and optimization. This role works closely with internal engineering groups and external partners to support simulation, rig testing, wind tunnel programs, and on‑track development.
Key Responsibilities
- Develop and maintain vehicle modeling and simulation tools to support performance development initiatives.
- Create, validate, and program vehicle, aerodynamics, powertrain, and vehicle dynamics models for DIL and simulation platforms.
- Collaborate with cross‑functional engineering teams and external partners to ensure model accuracy and integration.
- Support rig, wind tunnel, and track testing through test planning, data analysis, and technical reporting.
- Develop and maintain software tools and control system models using modern software practices (e.g., C++, Dymola).
- Enable efficient analysis of chassis and vehicle performance data through robust software and analytical tools.
- Communicate project status, findings, and recommendations through clear technical reports, presentations, and controlled documentation.
Qualifications
- Bachelor's degree in Mechanical Engineering, Mathematics, Computer Science, or a related field (Master's preferred)
- 3+ years of experience in vehicle simulation, modeling, or related engineering fields
- Demonstrated experience with time‑series data processing and analysis across time, frequency, and spatial domains using MATLAB and/or Python
- Strong software development background with multiple years of C++ programming experience
- Experience developing simulation and control models (Dymola and Simulink preferred)
- Proficiency in applying supervised machine learning techniques for non‑linear regression
- Solid technical understanding of vehicle dynamics, chassis systems, aerodynamics, suspension, and tires
- Strong communication skills with the ability to convey complex technical information to diverse audiences
- Proven ability to thrive in fast‑paced, time‑critical environments
- Excellent teamwork, time‑management, and problem‑solving abilities
- Detail‑oriented, adaptable, and capable of performing under pressure in culturally diverse settings
- Proficiency with Windows‑based systems and Microsoft Office applications