Company:
Zobility
Location: Dearborn
Closing Date: 19/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Position Description:
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
Skills Required:
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
Skills Preferred:
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 development processes GTDS and GPDS
Familiarity with systems engineering systems and tools including VSEM, FEDE, Stages, FRD, HLF
Experience Required:
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
Experience Preferred:
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)
Education Required:
Bachelor's Degree in electrical engineering, mechanical engineering, aerospace engineering or a related field with emphasis on control systems
Education Preferred:
Master's Degree in mechanical, aerospace, electrical, systems engineering or similar field
Additional Information:
Position is Hybrid
We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more.
Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
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
Skills Required:
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
Skills Preferred:
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 development processes GTDS and GPDS
Familiarity with systems engineering systems and tools including VSEM, FEDE, Stages, FRD, HLF
Experience Required:
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
Experience Preferred:
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)
Education Required:
Bachelor's Degree in electrical engineering, mechanical engineering, aerospace engineering or a related field with emphasis on control systems
Education Preferred:
Master's Degree in mechanical, aerospace, electrical, systems engineering or similar field
Additional Information:
Position is Hybrid
We offer attractive, competitive compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition reimbursement, and more. If you take pride in your work and are committed to personal and professional success, let's talk. Please visit to learn more.
Zobility is RGBSI's workforce management and staffing division. RGBSI is a multi-national corporation headquartered in Troy, MI with branches throughout the USA, Canada, Germany, and India.
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