Senior Systems Engineer - Automotive Sensor Systems

SR SYSTEMS ENGINEER

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

Job Overview

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 engineering rigor.
  •    Ensure structured execution using Lean Product Development and systems engineering best practices.

DESIRED SKILL:

•    Masters / Bachelor’s degree in Electrical or Electronics Engineering or Instrumentation Engineering.
•    12–15 years of experience in automotive electronics, sensor development, or integrated circuit/sensor platforms, with at least 5 years as a Systems Engineer.
•    Strong background in sensor system design, architecture, and deployment for automotive environments.
•    Expertise in analog/digital circuit design, simulation, and system-level functional verification.
•    Strong debugging capability for hardware, firmware, and system integration issues.
•    Hands-on experience developing test rigs, test instrumentation, and data acquisition systems.
•    Demonstrated ability to analyze complex datasets, draw conclusions, and drive decisions.
•    Proficiency in ISO 26262 Functional Safety Standards, ASIL compliance, FIT analysis, and safety architecture definition.
•    Familiarity with sensing technologies such as Hall, piezoresistive/MEMS, strain gage, XMR, capacitance, and associated ASIC architectures.
•    Experience with AI/hyperscale hardware OR AI driven analytics for sensor test data.
•    Familiarity with machine learning techniques used for anomaly detection or predictive diagnostics.
•    Knowledge of LabVIEW, communication interfaces (SENT, PWM, I²C), and software/system development workflows.
•    Experience with ALM tools such as Code Beamer.
•    Proven track record leading global cross-functional teams to deliver complex technical programs.
•    Exceptional analytical, critical thinking, decision-making, and problem-resolution skills.

What your background should look like

Generally requires Bachelors degree in appropriate field with a minimum of 5 years of progressively responsible professional level experience; Masters degree or higher or local equivalent may be preferred at this level

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

Experience Level

Senior Level