Automotive HIL Software Engineer-Michigan

About the Role

Key Responsibilities

• Develop chassis (brakes, steering, suspension) control algorithms for advanced chassis systems to deliver vehicle attributes, including control architecture selection, algorithm simulation, implementation, and verification and validation via leveraging a combination of model-in-the-loop (MIL), software-in-the-loop (SIL), hardware-in-the-loop (HIL) and vehicle test environment.
• Leverage, subsystem- and component-level CAE models to analyze dynamic systems and complex system interactions, and to support concept analysis and verification, parameter optimization, and controls/design verification and validation.
• Define and review physical system testing and characterization to validate CAE models and guide vehicle and control system design.
• Control algorithm implementation on embedded controllers.
• Support the quality process workstreams (P-diagrams, FMEAs, requirements development, functional safety - ISO26262).
• Create and maintain comprehensive documentation to support global engineering and quality processes, and to facilitate technology transfer: system models, use cases, requirements, design validation tests and methods.
• Leverage connected vehicle technologies (wireless communication, location and route data, cloud-compute resources, AI/ML techniques, etc.) to improve customer experience with enhanced controls and prognostics.

Requirements

• Bachelor's Degree in electrical engineering, mechanical engineering, aerospace engineering or a related field with emphasis on control systems.
• Experience with data analysis, scripting and modeling & simulation of dynamic systems using Python, Matlab, Simulink or Stateflow.
• Experience with standard systems engineering tools including boundary diagrams, fault tree analyses, FMEAs, P-diagrams, etc.
• Knowledge of ISO26262 Automotive Functional Safety standard.
• Familiarity with AUTOSAR standards and tools for automotive software development.
• Problem-solving skills with a passion for new technology development.
• Demonstrated effective communication, documentation, and interpersonal skills in a team environment.
• Demonstrated ability to manage and balance multiple tasks and timelines.
• Proven ability to work well with others as part of a diverse global team.
• 3+ years experience in dynamic systems and embedded real-time controls development for automotive or similarly complex electromechanical systems, including C or C++.
• Subject matter expertise in chassis (brakes, steering, suspension) system hardware and control.
• Understanding of automotive powertrain systems and controls (including hybrids), with fundamental knowledge of dynamics, hydraulics, electric machines, batteries and mechatronics.

Nice to Have

• Master's Degree in mechanical, aerospace, electrical, systems engineering or similar field.
• Familiarity with industry standard systems engineering tools including SysML, MagicDraw.
• Familiarity with ISO26262 engineering tools including Hazard Analysis, Functional Safety Concept, Safety Requirements Specification, Functional Safety Requirements, Technical Safety Requirements.
• Hands-on experience with distributed system prototyping, troubleshooting, and commissioning.
• Experience using Matlab/Simulink for embedded controls development.
• Experience with standard version control and collaboration systems (ClearCase, AccuRev, GitHub).
• Experience applying CAE (MIL/SIL/HIL, virtual system/plant models, regression testing) concepts and CI (Jenkins, GitHub, Gradle) tools in robust system controls development.
• Knowledge of CAN/LIN/Ethernet communication protocols and development tools for automotive applications.
• Familiarity with Ford development processes GTDS and GPDS.
• Familiarity with Ford systems engineering systems and tools including VSEM, FEDE, Stages, FRD, HLF.
• 3+ years of experience in distributed systems engineering including requirements management, function decomposition and allocation, failure mode avoidance, robustness analysis, and system validation and verification.
• Experience with longitudinal controls for xEV systems (series hybrid, parallel hybrid, mild hybrid, battery electric, fuel cell).