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Ford Motor Company · 2 weeks ago

ADAS Platform Systems Engineering Supervisor

Dearborn, MI

Full-time

Hybrid

Senior Level, Lead/Staff

10+ years exp

Ford Motor Company is focused on delivering a fully electric transportation future through its Electric Vehicles, Digital and Design (EVDD) team. They are seeking an Advanced Driver Assistance Systems (ADAS) Platform Systems Engineering Supervisor to lead a team in designing and developing cutting-edge driver assistance features that enhance vehicle safety and comfort.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

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

Provide technical expertise and guidance to cross-functional teams (hardware, software, and system engineers) in the development, failure mode analysis, integration, and optimization of ADAS solutions using model-based systems engineering (MBSE) methodologies

Translate high-level product vision and customer insights into detailed system-level ECU requirements and technical specifications for the entire ADAS foundational ecosystem

Lead the development and cascade of Platform System logical and technology requirements to the hardware and software elements including the complete requirement traceability

Lead the development of the Platform System analysis including all interfaces, failure mode analysis and corresponding robustness actions

Lead technical design reviews for ADAS platform system development

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

Act as a primary technical interface and lead cross-functional problem-solving and integration initiatives across HW component Design & Release teams, Architecture, and Software teams to achieve holistic system-level performance, efficiency, and safety objectives

Stay up to date with the latest developments in ADAS technologies and automotive safety standards

Conduct research to explore new opportunities for system enhancements and innovations

Work closely with in-house design teams, suppliers and external partners to evaluate, and integrate third-party components and software for ADAS systems

Ensure that all ADAS technologies comply with industry safety standards, regulatory requirements, and global certifications (e.g., ISO, Euro NCAP, SAE)

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

Leverage product analytics and established metrics to drive continuous improvement and backlog prioritization across Agile cycles

Provide technical support and troubleshooting expertise to manufacturing in support of vehicle builds to resolve complex issues related to ADAS functionalities and performance

Maintain comprehensive documentation for design, testing, and validation processes

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

Qualification

ADAS technologiesSystems engineeringEmbedded hardware/software designFailure mode analysisModel-based systems engineeringAutomotive ECUsCompliance standardsTechnical leadershipCollaborationProblem solvingDocumentation

Required

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)

Preferred

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