Diagnostic Systems Engineer

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Diagnostic Systems Engineer
Job Summary

We are seeking an experienced Diagnostic Systems Engineer / Vehicle Diagnostics Engineer with strong expertise in vehicle diagnostics, embedded systems, C++ development, data analytics, and fault detection algorithms . The ideal candidate will be responsible for designing, implementing, validating, and improving real-time diagnostic monitors while leveraging fleet data analytics to enhance system reliability and fault detection performance.

Key Responsibilities

• Design and implement real-time diagnostic algorithms and monitors in modern C++ , including fault detection, signal plausibility checks, degradation monitoring, and fault isolation logic.
• Perform software unit testing, HIL testing, SIL testing, and automated regression testing to validate diagnostic software.
• Develop and maintain diagnostic requirements , including detection thresholds, debounce logic, fault handling, and response strategies.
• Ensure traceability between diagnostic requirements and system/component-level failure modes.
• Analyze large-scale fleet and telemetry data using Python and Databricks to evaluate diagnostic performance and optimize detection thresholds.
• Lead root cause investigations of field-reported issues using logged data, vehicle telemetry, and replay tools.
• Collaborate with hardware, software, controls, and calibration teams to resolve complex system issues.
• Create technical specifications, diagnostic documentation, and troubleshooting procedures for engineering and fleet operations teams.
• Monitor fleet-wide diagnostic KPIs and continuously improve diagnostic coverage, detection accuracy, and system reliability.
• Support the development of new diagnostic monitors and vehicle health monitoring capabilities.

Required Skills

• Strong proficiency in Modern C++ development within embedded or safety-critical environments.
• Experience with Vehicle Diagnostics Standards and Protocols :
  • UDS (ISO 14229)
  • DTC Management
  • OBD-II (SAE J1979)
  • CAN
  • LIN
  • Automotive Ethernet
• Strong experience with Python for data analytics, validation, and visualization.
• Hands-on experience working with Databricks or similar large-scale telemetry platforms.
• Knowledge of Control Systems, State Estimation, Model-Based Diagnostics, and Fault Detection Algorithms .
• Experience performing root cause analysis, fault isolation, and troubleshooting across hardware and software domains.
• Strong communication and documentation skills.

Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company, Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development, Projects, Requirements Analysis, Software Design, Software Implementation, Efficient Build, Release Process, and turnkey software V & V Services. We have more than 20+ years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment, connected vehicles, Cyber security, OTA, and Advanced Safety/ Body electronics.