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Job Description
HiL Simulation Team Lead Engineer The HiL Simulation Team Lead Engineer supports the product development and Software integration processes by developing test procedures for automated execution, implementing Design Verification tests using Hardware in the Loop & Software in the Loop Tool chain and methods, documenting, reviewing execution reports, reporting incidents, and tracking software updates to fix issues. The HiL Simulation Team Lead 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. • Single point of contact for the test organization and the feature owner, engineering team, and supplier • Manage the test project for the assigned features including integration/definition, scope/coverage, time, communications, and risk • Develop and negotiate the testing scope and statement of work • Support the tradeoff analysis of test requirements vs test environment capabilities to define test scope and instrumentation strategies • Analyze requirements, vehicle components electrical schematics, functional specifications, and FMEA documentation • Design, maintain and execute test procedures in alignment with test design guidelines and strategy • Document test environment, automation, and vehicle variant management requirements • Implement and validate test environment, automation, and vehicle variant management solutions • Develop test procedures to validate the test environment (intake tests) • Analyze test execution results to generate reports, document incidents, and drive them to resolution • Troubleshoot vehicle systems and test environment functionality to minimize false positive incident reports • Implement continuous improvement strategies for test design, management, and execution processes Basic Qualifications • Bachelor's Degree in Electrical Engineering, Computer Engineering, Computer Science or equivalent • 7+ Years of experience in software development or validation. • 7+ Years of experience utilizing software testing or quality assurance methodologies • 7+ Years of experience in validation support of dSPACE or NI HIL simulators • 5+ Years of experience in software development life cycle -CMMI and agile process experience. • 5+ Years of experience in dSPACE control and automation desk software. • 5+ years of Matlab/Simulink control models development experience • 3+ Years of experience in ADAS/DAT feature testing support • 2+ Years of experience in distributed feature testing experience Preferred Qualifications • Master's Degree in Engineering or related field • Experience in development and execution of functional test procedures within a software or vehicle testing organization • Experience in bench testing of distributed electrical systems (Electrical System Engineering) including bench functional integration, test execution, measuring and instrumentation, incident reporting and root cause analysis • Experience in electrical schematics for vehicle components and systems and electrical architectures of distributed systems • Experience with development and verification of embedded software using hardware in the loop equipment and software (E.g. dSpace, National Instruments) • Experience in test automation collaboration with Germany team • Experience in Ford Diagnostics Engineering tools and software downloads. • Experience in implementing software configuration management • Experience in in software development with compiled and interpreted languages including C, Python, visual basic and Matlab and their corresponding integrated development environments (IDEs). E.g. MS Visual Studio, Simulink • Experience in Experience in embedded controller networks (CAN, LIN) and the use of ECU diagnostic and network communication tools to verify and troubleshoot distributed vehicle systems (e.g. CANoe, CANalyzer, ) • Understanding of FMU / FMI concepts, resimulation (open loop SIL) and replay (open loop MIL) techniques, C / C code integration with MATLAB (S-functions and/or SIL). • Knowledge of instruction set architectures and cross compilation to x86, ARM, and other targets. $desc3