Diagnostics Engineer - Vehicle System Integration

Pentangle Tech Services | P5 Group; Foster City (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Pentangle Tech Services | P5 Group seeks a diagnostics engineer to architect and implement real-time monitors in C++, with strict validation and traceability to failure modes. You will work with modern diagnostic standards such as UDS and CAN/LIN, and leverage Databricks for data-driven tuning.

Candidates should have 6–8 years of experience in automotive, autonomous, aerospace, or robotics diagnostics, and strong Python plus C++ skills for production-grade, safety-critical systems.

Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Robotics, Aerospace Engineering, or related field; Master's preferred.
• 6–8 years of professional experience in diagnostics, embedded controls, or vehicle systems engineering in automotive/autonomous/ aerospace/ robotics industries.
• Working knowledge of diagnostic standards and protocols (UDS / ISO 14229, DTC management, OBD-II / SAE J1979) and communication buses (CAN, LIN, Automotive Ethernet).
• Proficiency with Python for data analysis and visualization; experience with large-scale telemetry datasets (Databricks or equivalent).
• Strong C++ development skills in production or safety-critical environments.

Responsibilities

• Architect real-time diagnostic monitors in modern C++, including signal plausibility checks, degradation detection, and fault isolation logic.
• Perform unit testing, HIL testing, and automated regression tests to validate diagnostic algorithms.
• Author formal diagnostic monitor requirements traceable to system- or component-level failure modes and verify against fleet data.
• Leverage fleet data in Databricks to characterize faults, tune detection thresholds, and validate algorithm performance.
• Lead root-cause analysis of field-reported faults using telemetry, logs, and replay tools across hardware, firmware, calibration, and environment.
• Produce clear technical specifications, design documents, and service procedures for Fleet Operations technicians.
• Monitor fleet-wide diagnostic KPIs and propose algorithm refinements and new monitors.

Skills

Diagnostics expertise

C++ development

Python data analysis

Fault diagnosis

Problem solving

Communication skills

Education

Bachelor's degree in Electrical Engineering

Master's degree preferred

Tools

Databricks

HIL/SIL testing

UDS / ISO 14229

CAN / LIN / Automotive Ethernet

Job 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.

Qualifications

● 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.