Job Description

Responsibilities & Key Deliverables

Key Tasks and Deliverables

Analyze and interpret vehicle test data from ICE and EV platforms to derive actionable insights.*
Develop and maintain cloud-based analytics methodologies using MATLAB, Python, and Databricks.*
Design and deploy interactive dashboards and web applications for data visualization and reporting using Power BI and Tableau.*
Collaborate with calibration and testing teams to integrate analytics into vehicle development workflows.*
Support predictive modeling and machine learning initiatives for performance and reliability analysis.*

Critical Must-Have Deliverables

Accurate analysis of drivability and performance test data for ICE and EV platforms.*
Development of robust data analytics pipelines leveraging Python, MATLAB, and cloud platforms.*
Creation of real-time dashboards for vehicle performance monitoring and reporting.*
Integration of analytics into calibration and testing processes to improve efficiency and reliability.*

Good-to-Have Deliverables

Implementation of advanced machine learning models for predictive maintenance and performance optimization.*
Development of simulation models for vehicle systems to support virtual testing.*
Contribution to cross-functional projects involving EV efficiency mapping and fleet durability analysis.*

Experience

3-5 years of experience in engine/vehicle testing or system simulation.*
1-2 years of hands-on experience in data analytics and visualization.*
Exposure to ICE and EV architectures, calibration tools, and CAN protocols.*

Industry Preferred

Automotive OEMs and Tier-1 suppliers specializing in powertrain development, EV systems, and vehicle testing.

Qualifications

Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, Electrical Engineering, or Data Science.*
Certifications in data analytics tools (Python, MATLAB) and cloud platforms (Databricks, Spark) are desirable.*

General Requirements

Competencies and Skills

Functional Competencies:

Vehicle and engine performance analysis, drivability assessment, EV efficiency mapping.*
VCU calibration, emission analysis, fleet durability evaluation.*

Tools and Techniques Used:

MATLAB, Python, Databricks, Spark, Power BI, Tableau, Excel.*
Knowledge of CAN protocols and calibration tools.*

Behavioral Competencies:

Strong analytical thinking and problem-solving skills.*
Ability to collaborate effectively with cross-functional teams.*
Adaptability to emerging technologies and agile workflows.*

Our commitment to Diversity, Equity, and Inclusion

Job Segment:

Engineering Manager, Electrical Engineering, Electrical, Engineer, Engineering, Automotive