Cloud Prognostics Systems Engineer

Cloud Prognostics Systems Engineer Overview / Summary We are seeking a Cloud Prognostics Systems Engineer to support the development and delivery of prognostic features for connected vehicles. This role focuses on automotive systems engineering, model-based systems engineering (MBSE), vehicle data analytics, system modeling, controls, cloud-to-vehicle communications, and the development of robust prognostic solutions. The engineer will work across system architecture, requirements, modeling and simulation, vehicle data analysis, physical system integration, safety and security, and cross-functional engineering activities.

Key Responsibilities Apply Model-Based Systems Engineering (MBSE) methodologies using tools such as SysML and Magic Draw. Define system boundaries and establish logical and physical architectures. Map interface definitions and allocate prognostic functions across physical components. Use MATLAB and Simulink to design control logic, model physical system dynamics, and generate production-grade C++ code. Configure solver settings and manage fixed-point and floating-point data types to support effective code generation and system integration.

Operate dynamic laboratory environments, including dyno testing and e-Daq systems. Select, place, and calibrate physical sensors such as accelerometers and strain gauges on prototype vehicles. Capture high-fidelity physical data and prepare datasets for algorithmic analysis. Perform safety and security assessments, including FMEA, FMEDA, and cybersecurity threat modeling. Support compliance with ISO 26262, including ASIL ratings and fail-safe/fail-degraded states. Support compliance with ISO 21434 and secure prognostic pipelines from edge to cloud.

Design and optimize network communication and transport protocols. Use Gherkin to model behavioral scenarios for cloud-to-vehicle modem communications. Develop dynamic data-triggering strategies and optimize payload serialization to minimize data transmission requirements. Use SQL on cloud platforms such as Google Cloud Platform (GCP) to partition, decode, and analyze CAN bus and sensor telemetry. Map raw binary logs to human-readable physical values using database-defined translation tables such as DBC or ARXML databases.

Elicit, document, and trace multidisciplinary requirements using ALM tools such as Jama, Jira, and Team Center. Maintain traceability from customer experience goals through software requirements, hardware interfaces, and Design Verification Plans (DVP). Work with automotive communication protocols including CAN, LIN, and Automotive Ethernet. Integrate prognostic software applications onto central gateway modules, including management of signal routing and network timing or priority conflicts during physical system integration.

Apply Robust Engineering principles, including creation of Parameter Diagrams (P-Diagrams), to identify system inputs, desired outputs, error states, control factors, and noise factors. Support algorithm tuning to improve robustness and reduce false positives. Connect engineering metrics such as algorithm accuracy and false-alarm rates to quality indicators including Net Promoter Score (NPS), JD Power ratings, and vehicle repair rates. Collaborate cross-functionally to integrate prognostic alerts into user-facing smartphone applications and support the service scheduling experience.

Monitor, prioritize, and drive actions to improve quality metrics such as Net Promoter Score, vehicle repairs, JD Power ratings, and customer escalations. Investigate and resolve feature-specific issues during product development and launch. Analyze system failure points and evaluate solution proposals, including high-level FMA and FMEA activities. Lead feature development from concept through production while collecting and analyzing vehicle analytics data.

Lead cross-functional triage activities to investigate, reproduce, and resolve complex system-level defects using simulation logs, vehicle data, and telemetry.

Required Qualifications Master's degree. 5+ years of automotive experience in engineering and/or data analytics. 5+ years of experience with Robust Engineering…