Software Engineer - Controls

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 - ISO).
• 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 ISO 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 ISO 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 :

• 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 :

• 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, k, 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.