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OBD Fleet Durability Analytics Engineer About Hyundai America Technical Center, Inc. (HATCI) Hyundai America Technical Center, Inc. (HATCI) serves as Hyundai Motor Group’s North American R&D headquarters, supporting Hyundai, Kia, and Genesis products in one of the world’s most competitive automotive markets. Our teams drive innovation across product planning, design, engineering, quality, testing, and advanced technology development. With our main R&D campus in Michigan and additional engineering, development, and proving ground facilities in California, HATCI provides a dynamic environment where ideas accelerate into real-world vehicle advancements. About the Team The Emissions and OBD Validation (EMOV) team is part of the Electrified Propulsion division of HATCI. We advance propulsion efficiency and performance across Hyundai, Kia, and Genesis internal combustion and hybrid powertrains, directly shaping the refinement, competitiveness, and technological leadership of the vehicles our customers drive every day. EMOV leads local market testing and validation of engine and electrified propulsion management systems controlling vehicle emissions and diagnostics. Position Overview We are seeking an innovative, analytically-minded, and self-driven OBD Fleet Durability Analytics Engineer to join our team in Superior Township, Michigan. In this role, you will drive data-driven decision making for the validation of engine management and on-board diagnostics systems for pre-production vehicles undergoing extensive mileage accumulation and emissions durability testing. You will analyze CAN/XCP parameters collected from our instrumented fleet vehicles to identify failure modes, detect early indicators of component degradation, and validate the robustness of OBD calibrations and engine management calibrations. This position offers the opportunity to work with data-intensive development programs, advanced calibration technologies, and cross-functional engineering teams. You will help shape the next generation of internal combustion, hybrid, and electrified propulsion systems through rigorous data analysis, predictive analytics, and data-driven insights that directly inform calibration refinement and vehicle durability validation. WHAT YOU WILL DO Key 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 Travel up to 15% both domestically and internationally Core Competencies 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 Experience with vehicle calibration tools such as ETAS INCA, MDA, or similar ECU calibration platforms Strong verbal, written, and interpersonal communication skills Commitment to professional integrity, sound judgment, and responsible handling of sensitive information WHAT YOU WILL BRING TO THE ROLE Basic Qualifications 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 Preferred Qualifications 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 WHAT HYUNDAI CAN OFFER YOU Zero-dollar Employee Premiums on M
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
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When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.