ADAS Platform Systems Engineering Supervisor

Ford•Dearborn, MI

About The Position

We are seeking a highly skilled and knowledgeable Advanced Driver Assistance Systems (ADAS) Platform Systems Engineering Supervisor to join our dynamic team. In this role, you will leverage your management skills and experience with your expertise in ADAS technologies to design, develop, analyze, integrate, and support cutting-edge driver assistance features that enhance vehicle safety, comfort, and overall driving experience. As an ADAS Systems Engineering Supervisor, you will lead a team of engineers that play a pivotal role in advancing our company's ADAS capabilities, ensuring the successful implementation of various systems, and providing managerial and technical leadership throughout the development lifecycle. Apply advanced principles of Product Lifecycle Management (PLM), Data Analysis & Visualization, Risk Analysis, Feature Prioritization, FMEA, and Six Sigma methodologies to optimize system performance and KOL reliability. Provide technical support and troubleshooting expertise to manufacturing in support of vehicle builds to resolve complex issues related to ADAS functionalities and performance. Provide regular updates to stakeholders on project progress, challenges, and resolutions. Support vehicle program milestone deliverables and signoffs, including investigation and resolution of quality issues. Established and active employee resource groups System Design & Development: Lead the platform system design, development and analysis of the next iteration of ADAS electronics control unit (ECU) including the integration of hardware, software and sensor technologies enabling the deployment of ADAS features such as Adaptive Cruise Control (ACC), Lane Departure Warning (LDW), Automatic Emergency Braking (AEB), Collision Avoidance, Parking Assistance, and more. Oversee the integration of ADAS components and ensure they meet performance, safety, and regulatory standards. Design testing methods and protocols, both virtual and physical, to validate system performance in real-world conditions. Lead the end-to-end system engineering lifecycle for advanced driver assistance systems, across all abstraction levels including architectural definition through detailed design, integration, and optimization. Guide and mentor engineers in defining, analyzing, and maintaining comprehensive system, subsystem, and component-level requirements for the ADAS ECU/system. Drive collaboration with internal teams and external suppliers to develop, negotiate, and communicate robust technical requirements and design specifications. Oversee the development and integration of ADAS Platform System DFMEAs (Design Failure Mode and Effects Analysis) and other reliability analyses, driving the implementation of mitigation strategies to manage severity and occurrence across the system in Magic Draw.

Requirements

Bachelor of Science degree in Electrical Engineering, Computer Science, Mechatronics, or a related field or equivalent combination of relevant education and experience.
10+ years of experience in systems engineering/product development
8+ years of experience in the development of automotive ECUs, with a focus on ADAS systems
3+ years leading an engineering or product development team
2+ years of experience in failure mode analysis
3+ years of experience with embedded hardware and/or software design (coursework/internship/co-op experience allowed)

Nice To Haves

Master's degree in electrical engineering, Control Systems Engineering or Computer Engineering
15+ years of experience with automotive product development working with driver assistance systems, safety systems (active or passive) including experience from the highest abstraction level through successful production introduction
2+ years of experience using MBSE tools such as Magic Draw
Familiarity with functional safety standards (ISO 26262, ASIL) and relevant compliance frameworks
Familiarity with cybersecurity standard ISO 21434 including threat and risk analysis (TARA)
Strong experience in embedded systems design, software development, and system integration
Hands-on experience with ADAS technologies, such as adaptive cruise control (ACC), lane-keeping assist (LKA), automatic emergency braking (AEB), and other sensor-based driver assistance features
Experience with real-time operating systems (RTOS), safety-critical applications, and automotive communication protocols (e.g., CAN, Ethernet, LIN)
Experience reviewing, categorizing and analyzing field data to determine error states/failure modes
Software engineering and algorithm development experience

Responsibilities

Lead the platform system design, development and analysis of the next iteration of ADAS electronics control unit (ECU) including the integration of hardware, software and sensor technologies enabling the deployment of ADAS features such as Adaptive Cruise Control (ACC), Lane Departure Warning (LDW), Automatic Emergency Braking (AEB), Collision Avoidance, Parking Assistance, and more.
Oversee the integration of ADAS components and ensure they meet performance, safety, and regulatory standards.
Design testing methods and protocols, both virtual and physical, to validate system performance in real-world conditions.
Lead the end-to-end system engineering lifecycle for advanced driver assistance systems, across all abstraction levels including architectural definition through detailed design, integration, and optimization.
Guide and mentor engineers in defining, analyzing, and maintaining comprehensive system, subsystem, and component-level requirements for the ADAS ECU/system.
Drive collaboration with internal teams and external suppliers to develop, negotiate, and communicate robust technical requirements and design specifications.
Oversee the development and integration of ADAS Platform System DFMEAs (Design Failure Mode and Effects Analysis) and other reliability analyses, driving the implementation of mitigation strategies to manage severity and occurrence across the system in Magic Draw.
Apply advanced principles of Product Lifecycle Management (PLM), Data Analysis & Visualization, Risk Analysis, Feature Prioritization, FMEA, and Six Sigma methodologies to optimize system performance and KOL reliability.
Provide technical support and troubleshooting expertise to manufacturing in support of vehicle builds to resolve complex issues related to ADAS functionalities and performance.
Provide regular updates to stakeholders on project progress, challenges, and resolutions.
Support vehicle program milestone deliverables and signoffs, including investigation and resolution of quality issues.