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  • Automotive HIL Software Engineer

    Cognizant (Dearborn, MI)



    Apply Now

    Automotive HIL Software Engineer

     

    Work Location - Dearborn Michigan

     

    Required Experience - 3+ Yrs. of Experience

     

    Required Degree: BS or MS Electrical Engineering or Computer Engineering

    Job Requirements:

    The Hardware in the Loop (HiL) Engineer supports the product development and system integration processes by developing test procedures for automated execution, implementing tests using Hardware in the Loop equipment, documenting and reviewing execution reports, reporting incidents, and tracking software updates to fix issues. The HiL Engineer develops expertise in software test design and has advanced knowledge in vehicle functional partitioning, electrical and communication architectures, Ford's embedded software processes, and the Global Product Development System. This role requires close collaboration with feature owners, engineering, and suppliers to develop a strong understanding of the vehicle functions and implement appropriate test design strategies for early identification of defects and to provide evidence of defect elimination.

    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

    Qualifications Required:

    • 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

    Qualifications Preferred

    • 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)

     

    Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

     


    Apply Now



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