Ford's Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the company's vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners.

You will develop C language-based software designs for Ford Electrified Powertrains. The scope of software platform design includes Board Support Packages that support system control and coordination of related hybrid sub-systems; regenerative brakes, high-voltage battery, transaxle motor and generator, engine torque and engine power management.

Responsibilities:

• Develop and implement real-time embedded software for hybrid vehicle controllers, incorporating knowledge of microprocessor architecture, low-level drivers, and Board Support packages.
• Ensure that each system can manage functions such as regenerative braking, battery management, and motor control with precise, real-time response.
• Design software that aligns with real-time operating system (RTOS) requirements for optimal performance, secure access control, and quick response times.
• Apply advanced cybersecurity methods, including secure boot, software signing, and cryptographic protocols to protect vehicle control software.
• Integrate message authentication techniques within Controller Area Network (CAN) systems, ensuring data integrity and secure communication between control units.
• Implement secure boot methods to verify the integrity of software during startup, using digital signatures to ensure only trusted code is executed on vehicle controllers.
• Integrate message authentication protocols (such as CAN Message Authentication) into vehicle systems to verify communication authenticity and prevent unauthorized data manipulation in real-time.
• Configure secure over-the-air (OTA) software updates to maintain software integrity within the vehicle’s Hybrid Control Unit (HCU).
• Conduct threat modeling and vulnerability assessments for hybrid and electric vehicle software platforms to identify potential security weaknesses.
• Apply penetration testing techniques and risk assessment frameworks to analyze vulnerabilities in real-time operating systems (RTOS) and embedded software, ensuring compliance with automotive cybersecurity standards like ISO/SAE.
• Interpret and implement requirements using C programming to develop core platform software for real-time control systems in hybrid and electric vehicles.
• Focus on secure data transmission, OTA flash functionality, and both low- and high-level driver integration.
• Integrate and configure tools for over-the-air flash updates and CAN message authentication, ensuring compliance with network operating systems and corporate standards like VBF file formats.
• Complete all multiplex compliance testing to verify CAN protocol functionality and message integrity.

Qualifications:

• BS in Computer Engineering, Electrical Engineering or Computer Science or related field or equivalent combination of relevant education and experience.
• 2+ years of experience in real-time embedded control software and design experience including C Programming language, ETAS RTOS, and associated board support packages.
• 2+ years experience with microprocessor architectures and associated low-level drivers.
• MS in Computer Engineering, Electrical Engineering or Computer Science.
• Experience with calibration development tools, especially ATI emulators preferred.
• Experience with Infineon Aurix microcontroller architecture preferred.

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Responsibilities:

• Develop vehicle-level Logical Schematics and set up Design Transmittal (DT) Structures within the Vehicle Systems Engineering Management - Global Design Transmittal (VSEM-GDT) system.
• Ensure the Generic Fusing Strategy and Generic Grounding Strategy are strictly followed across all designs.
• Execute compatibility reviews, assess Systems Failure Mode and Effects Analysis (FMEA), and ensure compliance with related system requirements in the Ford Engineering Design Environment (FEDE).
• Support Hardware-in-the-Loop (HIL), Final Design Judgement (FDJ), and Design Confirmation Vehicle (DCV) Breadboard setups, including determining feature configurations and variants.
• Verify the Bill of Materials (BOM) to ensure all necessary hardware and components are present for Breadboard builds.
• Update module software using In-Vehicle Software (IVS) or JFrog repositories and configure modules using the Ford Converter Tool (FCT) or End-of-Line (EOL) simulation.
• Perform functional point-to-point testing and lead Design Confirmation Vehicle (DCV) signoff for Vehicle Engineering Validation (VEV) Design Verification (DV) Breadboards.
• Provide module configurations and support Vehicle Software Configuration System (VSCS) development.
• Support Plant Build Kits at facilities such as the New Model Programs Development Center (NMPDC) or Roush by managing software updates and module configurations.
• Execute self-tests and collect bus queries to verify part numbers, configurations, and Diagnostic Trouble Codes (DTCs).
• Be part of new vehicle program launch team and responsible to triage and troubleshoot functional issues during vehicle builds and all pre-production phases, including Engineering Prototype (EPT), Tooling Tryout (TT), Pilot Plant (PP), Manufacturing Process (MP1 & MP2), OK to Buy (OKTB), Post Job 1 (PJ1), and Job 1 plus 90 days (J1+90).
• Support Functional Testing and Key Off Load (KOL) test activities to ensure vehicle system readiness.
• Utilize the Software Bill of Materials (SWBOM) to track software revisions.
• Support End-of-Line (EOL) testing before each build event to validate latest vehicle software package and Vehicle Software Configuration System (VSCS).
• Review and identify "false codes" (phantom Diagnostic Trouble Codes set during software reflashing) to ensure accurate system diagnostics and clean vehicle delivery.

Qualifications:

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• 3-5 years' experience in automotive Electrical/Electronic (E/E) Systems Integration and Validation.
• 3+ years 'experience with Controller Area Network (CAN), CAN-Flexible Data-Rate (CAN-FD), and Local Interconnect Network (LIN) protocols and messaging.
• 2+ years' experience in Issue Triage and Root Cause Analysis of complex functional failures and system-level defects.

Preferred qualifications include proficiency in analyzing vehicle bus traffic using industry-standard tools such as CANalyzer, CANoe, Diagnostic Engineering Tool (DET), or Wireshark, ability to read and interpret complex Electrical Schematics, wiring diagrams, and network communication databases (.dbc or .arxml), fundamental understanding of vehicle power distribution, including fusing and grounding strategies, familiarity with Failure Mode and Effects Analysis (FMEA) and functional safety principles, demonstrated ability to perform hands-on technical troubleshooting on physical hardware, breadboards, or vehicle prototypes, willingness to support onsite activities at manufacturing plants or prototype build facilities like the New Model Programs Development Center (NMPDC), direct experience with Ford-specific engineering tools including Vehicle Systems Engineering Management - Global Design Transmittal (VSEM-GDT) and Ford Engineering Design Environment (FEDE), expertise in Vehicle Software Configuration System (VSCS) development and module configuration, experience using In-Vehicle Software (IVS) or JFrog for software repository management and the Ford Converter Tool (FCT) for module flashing, advanced knowledge of Automotive Ethernet and complex gateway routing, in-depth knowledge of Automotive End-of-Line (EOL) testing procedures, proven ability to identify and resolve "false codes" or phantom Diagnostic Trouble Codes (DTCs) generated during software reflashing, leadership capability to lead cross-functional triage meetings and translate technical bus data into actionable business reports for leadership, proficiency in data management and tracking using Jira and Confluence, proficiency on coding in Python or C#, and proficiency on using Large Language Models.

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