Research Software in the Loop (SIL) Supervisor

Ford•Dearborn, MI

1d•Hybrid

About The Position

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. 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. Work with internal customers to show improvements in their software development / test efficiency and accuracy. 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. Established and active employee resource groups

Requirements

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, Vechicle 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++.

Nice To Haves

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.

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.
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.
Work with internal customers to show improvements in their software development / test efficiency and accuracy.
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.