Role: Embedded Controls Software Engineer/Validation Engineer (W2 Position)
Location: DEARBORN,MI (Hybrid)
Duration: 12+ Months
Experience: 8+ Years
Client: Ford Motors
JD:
Skills Required:
- Matlab, Coding, C++, Embedded Software, Embedded Systems
- MATLAB Candidate should demonstrate hands-on experience using MATLAB/Simulink (including Stateflow) to model, design, and simulate embedded control algorithms for BCM features. Example: Building a Simulink state machine to model a vehicle lighting or door control feature, running Model-in-the-Loop (MIL) simulations to validate logic, and using Model Advisor checks to ensure modeling standards compliance before code generation.
- Coding Candidate should be able to write clean, efficient, and standards-compliant code for embedded automotive applications, including scripting for automation. Example: Developing a Python automation script to parse test logs and auto-generate pass/fail reports, reducing manual validation time during regression testing cycles.
- C++ - Candidate should show proficiency writing and debugging C/C++ code for real-time, resource-constrained embedded targets, including implementing AUTOSAR software components. Example: Implementing a C++ AUTOSAR SWC (Software Component) for a BCM feature (e.g., power window control), integrating it via DaVinci Developer, and validating memory/timing constraints on target hardware.
- 4. Embedded Software Candidate should demonstrate the full lifecycle of embedded software development from requirements to implementation to on-target validation for safety-critical automotive systems. Example: Taking a system-level requirement for a new BCM feature, translating it into a functional spec, implementing the control logic, and validating it through SIL/HIL testing using Vector CANoe before production release.
- 5. Embedded Systems Candidate should understand the broader hardware-software interaction, real-time constraints, and communication protocols (CAN/LIN) governing embedded automotive systems. Example: Diagnosing a field issue where a BCM module intermittently fails to respond over CAN, performing root cause analysis using CANoe traces and the MULTI debugger, and implementing a fix that accounts for timing/interrupt behavior on the target ECU.
Experience Required:
- Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. 6+ years in IT; 4+ years in development
Additional Information :
HYBRID / 4 days per week in the office
- Software Design: Design, develop, and implement embedded control systems for Body Control Modules (BCM), performing high-level analysis and design planning for new features supporting scalable production and next-gen Software-Defined Vehicle (SDV) architectures. Requires strong grasp of software modeling and embedded design principles.
- Requirements Engineering: Partner with cross-functional stakeholders to capture system-level requirements and translate them into detailed functional/technical specifications for control algorithms and software modules, ensuring alignment with vehicle performance and safety goals.
- Algorithm Development & Implementation: Design, develop, and optimize control algorithms; implement AUTOSAR-compliant software components using C/C++, MATLAB (Stateflow/Simulink), and Python. Use DaVinci Developer for AUTOSAR configuration and integration.
- Verification, Validation & Testing: Lead test strategy design and execution, including MIL, SIL, and HIL simulations, plus unit/integration testing (e.g., Google Test). Perform on-target validation using Vector CANoe and MULTI debugger. Conduct root cause analysis of defects and implement robust fixes.
- Compliance & Quality Assurance: Ensure adherence to ISO 26262 (Functional Safety), ASPICE, and AUTOSAR standards. Enforce quality checks such as static code analysis and Model Advisor reviews to maintain software reliability.
- Process Optimization & Automation: Identify development bottlenecks and implement Python-based automation scripts and reusable model templates to streamline workflows, boost efficiency, and reduce development cycle time."