Apply on Employer Site

ENC - ElDorado National California Inc. · 3 weeks ago

Engineer, Simulation

Riverside, CA

Full-time

Hybrid

Mid, Senior Level

$120K/yr - $135K/yr

5+ years exp

ElDorado National California Inc. (ENC) is seeking an Engineer, Simulation responsible for the design, development, testing, and troubleshooting of vehicle systems and applications, particularly in the area of Simulation for Electric Vehicles (EVs). The role involves collaboration with various teams to ensure efficient operation of software and systems while mentoring junior developers and maintaining high standards of code quality.

FinanceIndustrialManufacturingTransportation

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

Qualification

MATLAB/SimulinkModel-based designSimulation modelingAI/ML techniquesAutomotive modeling standardsSIL/HIL testingC/C++PythonDebugging skillsRoot cause analysisSoftware validationContinuous improvementCommunication skillsProject management

Required

Bachelor's degree in software engineering or a related field (required). Equivalent education or experience may be considered

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)

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

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

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

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

Ability to manage multiple software design projects

On-time delivery of software system solutions

Effective communication with cross-functional engineering teams

Hands-on experience in software validation, including testing with hardware

Knowledge of the unit testing and mitigation techniques

Prototyping and validation of software systems