Systems Engineer

Requirements 5+ years of proven knowledge of Robust Engineering Fundamentals including defining requirements, DFMEA, P-Diagrams and validation. Ability to model using MATLAB Simulink and generate C++ code for our prognostics degradation models. Knowledge of vehicle architecture and sensors for diagnostics and prognostics feature development. Monitor, prioritize and drive actions to improve on traditional Quality Metrics: Net Promoter Score, Vehicle Repairs, JD Power, Customer Escalations to improve feature performance. Experience working with system modeling language (MagicDraw) and process/interface mapping. Experience working with Atlassian JIRA, JAMA and Team Center applications (VSEM, etc.) Ability to clearly communicate technical ideas/findings to cross functional engineering teams. Preferred 2+ years of experience defining system requirements using Gherkin scenarios (Given-When-Then) and utilizing MATLAB/Simulink for end-to-end feature modeling and system simulation to ensure robustness under nominal and degraded conditions. 2+ years of experience performing systems analysis and designing systems, subsystems, or components defining requirements as described above. 2+ years of leveraging Data-Driven tools to analyze Connected Vehicle Data or large data sets. 2+ years of experience: investigating and resolving feature-specific issues during product development and launch; or analyzing system failure points and evaluating solution proposals including conducting high level FMAs and FMEAs. 2+ years of experience: interfacing cloud-to-vehicle modem communications; or applying network communication protocols, transport protocols, and payload optimization techniques. Experience in leading the development of a feature from concept to production while collecting and analyzing vehicle analytics data to improve feature design and performance. Experience leading cross-functional triaging activities to systematically investigate, reproduce, and resolve complex system-level defects by analyzing simulation logs, vehicle data, and telemetry. Education Master's degree with 5+ years of automotive experience in engineering and/or data analytics. Preferred Phd or Masters degree in Automotive Engineering, Systems Engineering, Mechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Science, or a related field. Additional Information HYBRID / 4 days per week in the office #J-18808-Ljbffr