| Location | Riverside, California |
| Website | https://x.com/VetsHiredAi |
The Engineer is responsible for the design, development, testing, and troubleshooting of vehicle systems and applications, with a strong focus on simulation for Electric Vehicles (EVs). This role collaborates closely with cross-functional teams to ensure software and system performance, reliability, security, and scalability.
In addition, the engineer mentors junior team members, contributes to advanced simulation methodologies, and supports the development of high-quality software solutions through best practices in documentation, validation, and continuous improvement.
Develop and maintain EV and connected vehicle simulation models using MATLAB/Simulink or similar tools
Generate system and component requirements based on simulation outcomes such as energy, thermal, and dynamic performance
Create plant models, virtual ECUs, and subsystem simulations to support SIL/HIL testing and model-based design workflows
Apply modeling best practices and standards to ensure model fidelity, maintainability, and performance efficiency
Evaluate and implement simulation tools, frameworks, and methodologies to enhance engineering workflows
Integrate advanced technologies such as AI and machine learning into simulation strategies
Collaborate with controls, embedded software, backend, and cloud teams to support system-level optimization
Troubleshoot software and system integration issues across vehicle platforms
Resolve complex technical challenges in simulation development and deployment
Improve engineering processes through standardized documentation and automation tools
Support system configuration, training, and technical setup as required
Participate in cross-functional technology development initiatives
Travel for engineering and project support as needed
Strong understanding of EV systems, vehicle dynamics, and connected vehicle architectures from a modeling perspective
Ability to translate system requirements into simulation specifications, validation metrics, and performance targets
Proficiency in technical documentation including model specifications and validation frameworks
Expertise in model-based design, plant modeling, SIL/HIL workflows, and simulation automation
Proficiency with MATLAB/Simulink and related development tools
Familiarity with software standards and best practices for model development and validation
Understanding of system-level integration across embedded and cloud platforms
Advanced root cause analysis and troubleshooting across distributed vehicle and software systems
Ability to optimize model performance, stability, and computational efficiency
Adherence to software safety and validation standards
Strong focus on precision, reliability, and compliance
Effective management of multiple technical projects
Strong cross-team communication and on-time delivery
Hands-on experience with software validation and hardware-in-the-loop environments
Knowledge of unit testing and verification methodologies
Drive to improve simulation quality, performance, and development efficiency
Commitment to staying current with emerging engineering technologies
Bachelors degree in Software Engineering or a related field required
Advanced degree or professional certifications preferred
5+ years of experience in simulation engineering, model-based development, or systems/controls engineering
3+ years of hands-on experience with MATLAB/Simulink and related integration tools (C/C++, Python preferred)
Experience modeling vehicle networks and communication protocols
Experience supporting SIL/HIL or virtual ECU environments
Proven ability to validate and optimize complex simulation models
Experience working in cross-functional development environments and project management tools