Cloud Prognostics Engineer - MBSE

Are you passionate about leveraging modern methodologies and tools to understand automotive systems, study, and predict the degradation or occurrence of a problem in a vehicle component/system? Would you love to accelerate efforts to build amazing experiences and software products in the Connected Vehicles space - with data? We are seeking a top-tier engineering professional who is data-driven, self-motivated, and detail-oriented to help develop and deliver breakthrough prognostic features.

• Proficiency in MATLAB and C - Ability to model using MATLAB Simulink and generate C code for prognostics degradation models.
• Master’s degree with 5 years of automotive experience in engineering and/or data analytics.
• 5 years of proven knowledge of Robust Engineering Fundamentals, including defining requirements, DFMEA, P-Diagrams, and validation.
• Experience working with system modeling language (Magic Draw) and process/interface mapping.
• Experience working with Atlassian JIRA, JAMA, and Team Center applications.
• Ability to clearly communicate technical ideas/findings to cross-functional engineering teams.
• Applicants must be able to work directly for Artech on W2.

• 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 defining system requirements using Gherkin scenarios and utilizing MATLAB/Simulink for end-to-end feature modeling and system simulation.
• 2 years of experience performing systems analysis and designing systems, subsystems, or components.
• Experience in leading the development of a feature from concept to production.

• Define system boundaries, establish logical and physical architectures, and allocate prognostic functions across different physical components.
• Use MATLAB and Simulink to design control logic, model physical system dynamics, and auto-generate production-grade, highly efficient C code.
• Operate dynamic laboratory environments, including dyno testing and e-Daq systems.
• Design the system to comply with ISO 26262 and ISO 21434 to ensure the prognostic pipeline is secure from edge to cloud.
• Design optimized network communication and transport protocols.
• Use SQL on cloud platforms to partition, decode, and analyze raw CAN bus and sensor telemetry.
• Collaborate cross-functionally to integrate prognostic alerts into user-friendly smartphone applications.

For immediate consideration, please click APPLY to begin the screening process with Alex.