Diagnostic Engineer

Insight Global; Blythewood (SC); On-site; USD 85,000 - 120,000; Full time

Job summary

Insight Global in Blythewood, SC seeks a results-driven engineer to bridge R&D and production, focusing on vehicle commissioning, software validation, diagnostics, and data-driven quality and efficiency improvements. You will analyze CAN/log data, diagnose issues, and drive continuous improvement on the production floor.

Responsibilities include validating vehicle software, developing diagnostics, generating dashboards, and applying AI-driven analytics to optimize validation processes and system

Qualifications

• Bachelor’s degree in automotive, mechanical, electrical or software engineering or related field.
• 4+ years of professional experience in automotive manufacturing, validation, testing, or engineering.
• Experience with data analysis, data mining, and trend identification.
• Knowledge of CAN, LIN, and/or Ethernet protocols.
• Hands-on experience with CANalyzer, CANoe, Vector or similar vehicle network analysis tools.
• Ability to read electrical schematics and troubleshoot vehicle systems.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Investigate, analyze, and resolve issues during vehicle commissioning and software validation.
• Support testing and validation of vehicle software, functions, and diagnostic systems on the production floor.
• Analyze data to identify root causes and propose corrective actions.
• Develop troubleshooting processes for production commissioning stations.
• Generate reports and dashboards to track validation results and quality trends.
• Collaborate with validation, diagnostics, manufacturing, and engineering teams for improvement.
• Manage defect tracking and monitor issue resolution.
• Interpret and visualize CAN logs, sensor data, ECU traces, and diagnostics.
• Support scalable data storage, retrieval, and reporting solutions as validation grows.
• Apply AI and advanced analytics to optimize fault-finding and validation testing.
• Install, maintain, and troubleshoot data loggers and recording equipment.

Skills

Data analysis

Data mining

Trend identification

Analytical thinking

Communication skills

Education

Bachelor's degree in Automotive/Mechanical/Electrical/Software Engineering or related

Tools

CANalyzer

CANoe

Vector tools

Job description

Location: Blythewood, SC - 5 days onsite

Type: Contract-to-Hire

Position Overview

Join a cutting-edge automotive manufacturing environment where you will serve as a key contributor between Research & Development and Production teams. This role focuses on analyzing, troubleshooting, and resolving issues related to vehicle commissioning, software validation, diagnostics, and production data. You will leverage data-driven insights to improve vehicle quality, manufacturing efficiency, and system performance throughout the product lifecycle.

Key Responsibilities

• Investigate, analyze, and resolve issues identified during electronic vehicle commissioning and software validation activities.
• Support implementation, testing, and validation of vehicle software, functions, and diagnostic systems on the production floor.
• Analyze commissioning, functional, and diagnostic data to identify root causes of failures and recommend corrective actions.
• Develop and refine guided troubleshooting processes for production commissioning stations.
• Generate reports, dashboards, and key performance metrics to track validation results, system performance, and quality trends.
• Partner with validation, diagnostics, manufacturing, and engineering teams to drive continuous improvement initiatives.
• Manage defect tracking activities, monitor issue resolution, and identify recurring trends requiring long-term solutions.
• Interpret and visualize large datasets, including CAN logs, sensor data, ECU traces, and diagnostic information.
• Support scalable data storage, retrieval, and reporting solutions as validation volumes grow.
• Utilize AI and advanced analytics techniques to optimize fault-finding, validation testing, and process improvements.
• Install, maintain, and troubleshoot data loggers and recording equipment used across validation and testing environments.

Required Qualifications

• Bachelor's degree in Automotive Engineering, Mechanical Engineering, Electrical Engineering, Software Engineering, or a related discipline. Equivalent experience may be considered.
• 4+ years of professional experience, preferably within automotive manufacturing, validation, testing, or engineering environments.
• Understanding of engineering and manufacturing processes.
• Experience with data analysis, data mining, and trend identification.
• Knowledge of CAN, LIN, and/or Ethernet communication protocols.
• Hands-on experience with tools such as CANalyzer, CANoe, Vector, or similar vehicle network analysis platforms.
• Ability to interpret electrical schematics and troubleshoot vehicle systems.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with HIL (Hardware-in-the-Loop) testing and test automation.
• Programming experience with C++, C#, Java, or similar languages.
• Experience working with automotive validation, diagnostics, software verification, or vehicle commissioning processes.
• Familiarity with dashboarding, reporting tools, and large-scale engineering data environments.