Engineer, Simulation

ElDorado National California•Riverside, CA

10d•$120,000 - $135,000

About The Position

Engineer, Simulation Job Summary: The Engineer is responsible for the design, development, testing, and troubleshooting of the vehicle systems and applications, particularly in the area of Simulation for Electric Vehicles (EVs). This role requires collaboration with various teams, including international teams, to ensure that software and systems operate efficiently, reliably, and securely. In addition, the engineer will mentor and support junior developers while working closely with cross-functional teams and external partners to drive the development and implementation of new software solutions. Maintaining clean, well-documented code while adhering to best practices in software quality, security, and performance is essential.

Requirements

Technical Knowledge & Documentation Deep understanding of vehicle system behavior, EV powertrain fundamentals, and connected vehicle interactions from a simulation and modeling standpoint.
Ability to translate vehicle-level and subsystem-level requirements into model specifications, simulation assumptions, validation criteria, and measurable performance metrics.
Proficiency in creating simulation documentation, including model design specs, signal/interface definitions, and verification-oriented UML/SysML diagrams.
Software Design & Implementation Extensive knowledge of model-based design, including plant modeling, control-model development, numerical methods, simulation workflows for SIL/HIL environments, and the application of AI/ML techniques.
Experience applying automotive modeling standards (e.g., Modeling best practices) to select approaches balancing fidelity, maintainability, and computational efficiency.
Proficiency with simulation and development toolchains (e.g., MATLAB/Simulink, GitHub, model validation tools, automation scripts, CI/CD for model pipelines).
Understanding of system-level integration, enabling effective collaboration with controls, embedded software, telematics, and backend/cloud teams using simulation outputs.
Software Problem-Solving Skills Strong capability for root cause analysis across vehicle networks, embedded components, cloud interfaces, and telematics systems.
Advanced debugging and troubleshooting skills for embedded software, communication interfaces, and distributed systems.
Ability to analyze performance, timing, resource usage, and system bottlenecks, and to guide teams toward optimized and scalable software solutions.
Quality & Safety Compliance Strict adherence to software safety standards and regulations (e.g., ISO26262) Precision-focused approach to software validation Implementation of quality control measures for software systems
Project Execution Ability to manage multiple software design projects On-time delivery of software system solutions Effective communication with cross-functional engineering teams
Lab & Testing Skills Hands-on experience in software validation, including testing with hardware Knowledge of the unit testing and mitigation techniques Prototyping and validation of software systems Continuous Improvement Optimization of software designs for cost/performance Implementation of process improvements in software development Staying current with software engineering advancements
Education Bachelor’s degree in software engineering or a related field (required). Equivalent education or experience may be considered.
Experience 5+ years of experience in simulation engineering, model-based development (MBD), or controls/systems engineering, preferably in the EV or automotive domain.
3+ years of hands-on experience building simulation models using tools such as MATLAB/Simulink, and familiarity with supporting languages (e.g., C/C++, Python) for model integration or test automation.
3+ years of experience analyzing or simulating vehicle network behavior (CAN, J1939, UDS), including the ability to incorporate communication effects into system models.
Experience developing or validating models for vehicle functions, telematics behaviors, cloud/edge data flows, or subsystem interactions using SIL/HIL or virtual ECU environments.
Demonstrated ability to debug, correlate, and optimize simulation models, including addressing numerical instability, model fidelity issues, and deviations from test data.
Experience collaborating in cross-functional environments and using project management/documentation tools (e.g., JIRA, Confluence).

Nice To Haves

Advanced degree (Master’s/PhD) or certification in Software Engineering or related technologies.

Responsibilities

Develop and maintain EV and Connected Vehicle simulation models in MATLAB/Simulink or similar tools to enable early validation of control strategies and system behavior.
Generate and refine system and component requirements using simulation results such as energy, thermal, communication, and dynamic performance.
Create and manage plant models, virtual ECUs, and subsystem simulations to support SIL/HIL testing and model-based design workflows.
Apply automotive modeling standards (e.g., MAAB) and best practices to develop simulation strategies optimized for ENC’s requirements.
Evaluate and implement simulation toolchains, frameworks, and modeling methodologies that improve model fidelity, maintainability, and reusability across engineering teams.
Actively incorporate advanced technologies into simulation models and analytical methods to drive competitive in-house computing (e.g., AI and Machine Learning).
Collaborate with backend, cloud, controls, and software teams to ensure simulation outputs support algorithm development, verification, and system-level optimization.
Troubleshoot software-related issues in components, communication, and vehicle systems.
Resolve complex technical challenges in component development, system integration, and deployment.
Improve software engineering processes through standardized procedures, documentation and related tools.
Proactively mitigate project delays by providing short-term solutions for design/implementation issues.
Support system configuration, including installation, training, and setup for end-users or internal stakeholders.
Collaborate with cross-functional teams (e.g., Sales, Manufacturing, Service) to design, implement, and troubleshoot new technologies/features.
Participate in business travel for engineering purposes, including international trips (e.g., to China) as needed.