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Ford Motor Company · 1 day ago

Research Software in the Loop (SIL) Supervisor

Dearborn, MI

Full-time

Hybrid

Senior Level

7+ years exp

Ford Motor Company is a leader in automotive innovation, focusing on advanced energy management and propulsion technologies. The Research Software in the Loop (SIL) Supervisor will lead the development and optimization of next-generation SIL simulations for future vehicle systems, overseeing a talented team and collaborating with various engineering partners.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

U.S. Citizen Only

Responsibilities

Lead the definition and development of SIL simulation for Ford’s next generation of electrified propulsion systems.Anticipate new simulation capability for emerging propulsion systems and deliver simulations to partners in advance of their needs

Lead development of next generation SIL processes, methods, and tools to enable expansion of simulation usage and increased simulation speed and efficiency.Focus on what new capabilities we might add, as well as how we might integrate new simulation and automation processes into Ford’s development pipeline

Maintain and establish strong relationships with key internal customers in Research and Product Development organizations.Understand their needs and facilitate the maturation and seamless transition of simulation technologies into their development pipelines

Plan and execute Proof of Concept studies jointly with customers to evaluate new simulation and build / test automation processes.Work with internal customers to show improvements in their software development / test efficiency and accuracy

Directly supervise, mentor, and inspire a talented team of simulation, software, and automation researchers. Foster a culture of innovation, collaboration, and rapid prototyping, enabling the team to quickly develop proof-of-concepts to demonstrate feasibility and impact

Lead team to effectively articulate and communicate technical improvements

Manage projects, resources, and timelines efficiently to ensure research objectives are met

Guide the team in conducting research in areas such as application of parallel computing to simulation, cloud-based simulation, robustness and safety simulation, simulating the effects of physical and environmental noise factors, edge case detection, etc

Lead team to develop plants and controllers for new electrified powertrain components – motors, batteries, drivelines, sensors, etc

Keep pace with state of the art in industry and academia.Identify, evaluate, and invent simulation technology to keep Ford on the cutting edge

Qualification

Simulation of vehicle systemsModel In the LoopSoftware In the LoopHardware In the LoopMatlab / SimulinkC programmingC++ programmingSystems EngineeringControls EngineeringVerificationValidationQuality assuranceCloud computingParallel computingCommunication skillsInterpersonal skillsPresentation skills

Required

Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or a closely related technical field

7+ years of experience in simulation of vehicle or mechatronic systems with a proven track record of innovation and impactful contributions

3+ years of experience in leading technical projects or initiatives within an engineering environment

Demonstrated expertise in at least two of the following areas: Model In the Loop, Software In the Loop, Hardware In the Loop, Vehicle In the Loop

Working knowledge of Systems Engineering, Controls Engineering, Verification and Validation, Quality

Proficiency in Matlab / Simulink and software languages such as C, C++

Preferred

Ph.D. in Engineering, Computer Science, or a related field

Experience developing and testing automotive control software

Experience developing system requirements, software requirements, system models and other Systems Engineering work products

Experience with system safety and robustness processes

Experience with automated software build, continuous integration and test, software automation pipelines

Experience with cloud computing and parallel computing environments and associated tools (Linux, Docker, etc.)

Experience in developing quick proof-of-concept systems from ideation to functional demonstration

Excellent communication, presentation, and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences, from technical experts to executive leadership