OBD Fleet Durability Analytics Engineer

Hyundai Motor Company • Ypsilanti Charter Township, MI

1d • Onsite

About The Position

Hyundai America Technical Center, Inc. (HATCI) is seeking an innovative, analytically-minded, and self-driven OBD Fleet Durability Analytics Engineer to join the Emissions and OBD Validation (EMOV) team in Superior Township, Michigan. This role is crucial for driving data-driven decision making in the validation of engine management and on-board diagnostics systems for pre-production vehicles undergoing extensive mileage accumulation and emissions durability testing. The engineer will analyze CAN/XCP parameters from instrumented fleet vehicles to identify failure modes, detect early indicators of component degradation, and validate the robustness of OBD and engine management calibrations. This position offers the opportunity to work with data-intensive development programs, advanced calibration technologies, and cross-functional engineering teams, contributing to the next generation of internal combustion, hybrid, and electrified propulsion systems through rigorous data analysis, predictive analytics, and data-driven insights.

Requirements

• B.S. in Mechanical Engineering, Electrical Engineering, Computer Science, or related discipline
• 2+ years of experience in powertrain calibration, emissions development, OBD-II calibration or system validation
• Proficiency in Python for data analysis or equivalent programming experience (Pandas, NumPy, SciPy)
• Working knowledge of automotive communication protocols such as CAN and LIN
• Experience with vehicle calibration tools such as ETAS INCA, MDA, or similar platforms
• Knowledge of propulsion system fundamentals including hybrid powertrain operation
• Familiarity with emissions and OBD regulatory frameworks (EPA, CARB)
• Experience conducting or supporting emissions testing, OBD monitor development, or vehicle test procedures
• Strong verbal, written, and interpersonal communication skills
• Valid driver's license and a satisfactory driving record
• Advanced proficiency in Python - data manipulation (Pandas, NumPy), statistical analysis (SciPy, Statsmodels), and time-series analysis frameworks
• SQL database management - querying, joining, and optimizing large datasets from fleet data loggers
• Statistical analysis expertise - regression modeling, hypothesis testing, correlation analysis, and multivariate analysis techniques (PCA, clustering)
• Time-series analytics - trend detection, anomaly identification, and pattern recognition across long-duration vehicle operating data
• Data visualization - creating technical dashboards and visualizations using Matplotlib, Seaborn, Plotly, or Power BI/Tableau
• Predictive analytics modeling - machine learning techniques (classification, regression) for fault prediction and OBD monitor validation
• Strong foundation in engine controls, combustion, and exhaust aftertreatment systems
• Knowledge of diagnostic trouble code (DTC) development and OBD monitor calibration processes
• Understanding of EPA and CARB emissions and OBD regulatory requirements and testing procedures
• Experience with hybrid powertrain operation and associated propulsion control strategies
• Ability to specify, configure, and operate data acquisition systems and instrumentation for fleet vehicles
• Commitment to professional integrity, sound judgment, and responsible handling of sensitive information

Nice To Haves

• M.S. in Mechanical Engineering, Electrical Engineering, Computer Science, or related field
• 5+ years of experience in emissions development, OBD calibration, and vehicle validation
• Advanced data analysis proficiency with MATLAB/Simulink, Python (Pandas, Scikit-learn, SciPy), or SQL
• Experience validating OBD-II features for mass-production launch or durability programs
• Hands-on experience with fleet data analysis or long-duration time-series data from vehicle testing
• Familiarity with statistical methods for automotive applications - trend analysis, anomaly detection, multivariate analysis
• Experience with data visualization tools - Power BI, Tableau, or advanced matplotlib/plotly dashboards
• Knowledge of machine learning fundamentals - predictive modeling, classification algorithms, or anomaly detection
• Experience with XCP/CAN data acquisition systems and automotive diagnostic databases (ODX)
• Cross-functional collaboration experience working with calibration engineers, test engineers, and vehicle development teams

Responsibilities

• Lead data analytics activities for engine management and OBD systems using second-by-second vehicle data collected from long-term fleet testing
• Develop and execute statistical analysis plans to extract trends, detect anomalies, and identify correlations between operating conditions and system performance degradation
• Perform predictive analytics modeling to forecast potential failures and validate the effectiveness of OBD diagnostic monitors during extended durability testing
• Set up instrumentation and monitor fleet vehicles to ensure accurate data acquisition from data loggers (XCP/CAN), reliable test execution, and data integrity
• Analyze multivariate time-series data using Python, MATLAB, or similar tools to perform root cause analysis on high-occurrence issues and calibration weaknesses
• Conduct data-driven investigations using statistical hypothesis testing and cross-functional collaboration to evaluate diagnostic trouble codes (DTCs) and OBD monitor robustness
• Support fleet operation activities including calibration updates, software flashing, diagnostic evaluation, and instrumentation troubleshooting
• Prepare advanced technical visualizations and dashboards to communicate data findings, trends, and actionable recommendations to calibration engineers and engineering leadership
• Validate aftertreatment durability and regulatory compliance through analysis of emissions testing data at defined mileage intervals
• Evaluate emerging data analytics technologies that support enhanced OBD validation, predictive maintenance capabilities, and compliance with evolving emissions regulations
• Manage fleet data governance including database administration, parameter definition validation, signal quality assurance, and test data archival
• Plan, coordinate, and track analytics project activities to ensure timely and high-quality execution aligned with program milestones

Benefits

• Zero-dollar Employee Premiums on Medical, Dental, and Vision for You and Your Family
• 100% Employer-paid Disability and Life Insurance
• Generous Paid Time Off Including Vacation, Sick, and Abundant Holidays
• Competitive Salaries
• A Global Environment that Fosters Diversity
• Retirement Savings and Planning Benefits
• Access to Health Savings Accounts and Flexible Spending Accounts
• Flexible Work Hours

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level