Cloud Prognostics Systems Engineer (MBSE | MATLAB/Simulink | C++)

Job Title

Cloud Prognostics Systems Engineer (MBSE | MATLAB/Simulink | C++)

Overview

We are seeking an experienced Cloud Prognostics Systems Engineer to design and develop prognostic solutions for connected automotive systems. The ideal candidate will have expertise in Model-Based Systems Engineering (MBSE), MATLAB/Simulink, C++, cloud data analysis, vehicle diagnostics, and systems integration. This role involves collaborating with cross-functional engineering teams to develop scalable, reliable, and data-driven prognostic features throughout the product lifecycle.

Key Responsibilities

• Develop prognostic degradation models using MATLAB/Simulink and generate production-quality C++ code.
• Apply Model-Based Systems Engineering (MBSE) methodologies using SysML and MagicDraw.
• Define system boundaries, logical and physical architectures, interface definitions, and functional allocations.
• Design control logic and physical system models while ensuring efficient integration into automotive software platforms.
• Conduct laboratory testing, including dyno testing and data acquisition activities.
• Select, install, calibrate, and validate prototype vehicle sensors.
• Collect, process, and analyze high-fidelity sensor and vehicle telemetry data.
• Perform system safety and cybersecurity assessments, including FMEA, FMEDA, and threat modeling.
• Design systems compliant with ISO 26262 and ISO 21434.
• Develop and optimize network communication and transport strategies for connected vehicle systems.
• Create behavioral scenarios using Gherkin for system interactions.
• Analyze cloud-based telemetry data using SQL and decode vehicle communication data using database translation tables.
• Develop and maintain system requirements using ALM tools such as Jama, Jira, and Teamcenter.
• Ensure end-to-end requirements traceability across software, hardware, and verification activities.
• Integrate prognostic applications with vehicle communication networks, including CAN, LIN, and Automotive Ethernet.
• Apply Robust Engineering principles, including Parameter Diagrams (P-Diagrams), DFMEA, and validation methodologies.
• Analyze engineering metrics and support continuous improvement of feature performance.
• Collaborate with cross-functional engineering teams throughout product development and launch.

Required Qualifications

• Master's degree.
• 5+ years of automotive engineering and/or data analytics experience.
• Strong experience with MATLAB/Simulink and C++ development.
• Experience generating C++ code from MATLAB/Simulink models.
• Experience with Model-Based Systems Engineering (MBSE), SysML, and MagicDraw.
• Strong understanding of vehicle architecture, sensors, diagnostics, and prognostics.
• Experience with Robust Engineering principles, including DFMEA, P-Diagrams, requirements definition, and validation.
• Experience with SQL and cloud-based data analysis.
• Knowledge of automotive communication protocols including CAN, LIN, and Automotive Ethernet.
• Experience using Application Lifecycle Management tools such as Jira, Jama, and Teamcenter.
• Strong communication and collaboration skills with cross-functional engineering teams.

Preferred Qualifications

• PhD or Master's degree in Automotive Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Science, or a related field.
• 2+ years of experience developing system requirements using Gherkin scenarios.
• Experience performing systems analysis and designing complex systems and subsystems.
• Experience analyzing connected vehicle data or large datasets.
• Experience performing failure analysis, FMEA, and issue resolution during product development.
• Experience designing cloud-to-vehicle communication solutions and optimizing network protocols.
• Experience leading feature development from concept through production.
• Experience leading cross-functional defect investigation and resolution activities.

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