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# Diagnostics Engineer - Vehicle System Integration

- **Company:** Opulent Global Technologies Inc
- **Location:** Foster City, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Data Analysis, Systems Engineering, Unit Testing, C++ (Programming Language), Computer Engineering, Software Design Documents, Firmware, Regression Testing, Data Driven Tests, C++14, Databricks
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/96820757-d9da-499d-bae0-672c7106ad84

## About the Role

* Education: Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or a related technical field. Master's degree preferred

 * Experience: 6-8 years of professional experience in diagnostics, embedded controls, or vehicle systems engineering within the automotive, autonomous vehicle, aerospace, or robotics industry. Required Skills

 * Vehicle Diagnostics Expertise: Working knowledge of diagnostic standards and protocols (UDS / ISO 14229, DTC management, OBD-II / SAE J1979) and communication buses (CAN, LIN, Automotive Ethernet).

 * Data Analysis: Proficiency with Python for data analysis and visualization; experience working with large-scale telemetry datasets (Databricks, or equivalent).

 * C++ Proficiency: Strong, demonstrable C++ development skills in production or safety-critical environments;

 * Control & Estimation Theory: Hands-on experience designing and implementing control algorithms, state estimators, or model-based diagnostic observers.

 * Problem Solving: Proven ability to systematically decompose complex, multi-domain problems and drive them to root cause under ambiguity.

 * Communication: Excellent written and verbal communication skills; able to present technical analyses and recommendations to both engineering peers and non-technical stakeholders. Preferred Skills

 * Experience with implementing prognostics or vehicle health monitoring

 * Experience with HIL/SIL testing frameworks for diagnostic validation.

## Description

* Diagnostic Algorithm Design & Implementation: Architect and implement real-time diagnostic monitors in modern C++, including signal-level plausibility checks, degradation detection, and fault isolation logic. Perform software unit testing, HIL testing, and automated regression tests to validate diagnostic algorithms prior to final implementation

 * Diagnostic Requirement Engineering: Author formal diagnostic monitor requirements (detection thresholds, debounce strategies, fault response actions) traceable to system-level or component level failure modes; verify requirements against fleet and bench data.

 * Data-Driven Analysis & Validation: Leverage large-scale fleet data in Databricks to characterize faults, tune detection thresholds, validate algorithm performance (detection rate, false-positive rate), and drive continuous improvement.

 * Fault Troubleshooting & Root Cause Analysis: Lead investigation of field-reported faults using telemetry, logged data, and replay tools; identify root causes spanning hardware, firmware, calibration, and environmental factors.

]* Documentation & Knowledge Transfer: Produce clear technical specifications, design documents, and service procedures that enable Fleet Operations technicians to diagnose and resolve faults efficiently.

 * Continuous Improvement: Monitor fleet-wide diagnostic KPIs; propose and implement algorithm refinements, new monitors, and process improvements.


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