SR SYSTEMS ENGINEER

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SR SYSTEMS ENGINEER

4/1/26

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.

Contributes to technical function initiatives across multiple projects and manages technical elements while maintaining performance and schedule. KEY RESPONSBILITIES:

System Architecture & Design •    Define end-to-end system architecture for transportation sensors, including embedded hardware, ASIC interfaces, signal processing, and software interactions. •    Lead electronic design activities: schematic development, electrical & thermal calculations, DFMEA creation, and PCB layout oversight. •    Perform system-level simulations and modeling to validate architecture and ensure robust performance across operating conditions.  Development, Validation & Problem Solving •    Lead full lifecycle sensor development by collaborating with Mechanical, Software, ECAD, ASIC, Quality, and Reliability teams. •    Conduct and manage system-level validations (functional, electrical, EMC, thermal). •    Demonstrate strong hands-on debugging skills across electronics, firmware, and system interfaces, including test rig hardware troubleshooting and development. •    Drive root-cause analysis using structured methodologies and implement durable corrective actions. Functional Safety & Compliance •    Perform ASIL analyses, safety goal decomposition, FIT evaluation, and system safety architecture definition per ISO 26262. •    Work with hardware and software teams to define, manage, and verify safety requirements at component and system levels. Customer Interaction & Technical Leadership •    Serve as the primary technical interface for customer discussions on requirements, concepts, design changes, and validation outcomes. •    Translate customer and market needs into clear system specifications and requirements. •    Lead design reviews, risk mitigation planning, and technical decision-making forums. AI, Data Analytics & Continuous Improvement •    Apply machine learning techniques for test data analytics, anomaly detection, and early failure prediction. •    Leverage AI/ML to optimize calibration strategies and accelerate sensor characterization. •    Benchmark industry technologies, conduct IC characterization, and drive continuous improvement initiatives. Cross-Functional Collaboration •    Work with global teams, subject matter experts, and external partners to deliver program milestones and maintain