Research Engineer – Prognostics & Applied Data Science

HTC Global Services; Dearborn (MI); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Paid holidays

401(k) matching

Professional development

Wellness programs

Job summary

HTC Global Services is seeking a Research Engineer specializing in applied data science and predictive modeling for connected vehicle systems. You will build prognostic features, develop time-series analytics, and create DSP pipelines with Python, SQL, Spark, and cloud platforms.

The role blends modeling, simulation, and hardware validation, with four days onsite in a hybrid setup. Strong Python/C++ skills, MATLAB/Simulink experience, and cross-functional collaboration are essential.

Qualifications

• Master's degree or equivalent in a related field with 4+ years of statistical experience.
• Proficient in Python and SQL with C++ experience for embedded systems.
• Experience with MATLAB/Simulink and cloud data platforms.

Responsibilities

• Develop prognostic features from concept to deployment.
• Design RUL and fault-detection models for vehicle subsystems.
• Convert predictive models to optimized C++ code for embedded use.
• Process large-scale telemetry with Python, SQL, Spark, Hadoop, and cloud platforms.
• Collaborate with SMEs to validate diagnostics and prognostics.

Skills

Statistical methods

Python programming

SQL

C++ programming

Cloud platforms

DSP & time-series analytics

Analytical skills

Communication skills

Cross-functional teamwork

Education

Master's degree in ME/EE/CS/Math/Physics

PhD (preferred)

Tools

MATLAB

Simulink

Calibration tools (ATI/ETAS)

Job description

Job Description

Job Title

Research Engineer – Prognostics & Applied Data Science

We are seeking a Research Engineer with expertise in applied data science, machine learning, and predictive modeling to develop advanced prognostic features for connected vehicle systems. This role focuses on building predictive models, processing large-scale vehicle data, and developing algorithms that support diagnostics, fault detection, and remaining useful life estimation for vehicle components.

This is a hybrid position requiring four days per week onsite.

Key Responsibilities

• Develop prognostic features from concept through production deployment.
• Build physics-informed machine learning models that combine first-principles physics with machine learning techniques.
• Design prognostics and Remaining Useful Life (RUL) models for vehicle subsystems.
• Convert predictive models into optimized C++ code for embedded vehicle systems.
• Develop digital signal processing pipelines and time-series analytics for multi-sensor vehicle data.
• Design and validate fault detection and isolation (FDI) algorithms.
• Apply statistical methods including causal inference, multivariate analysis, ANOVA, principal component analysis (PCA), clustering, neural networks, and Gaussian regression.
• Support the complete development lifecycle from modeling and simulation through hardware validation and production deployment.
• Collaborate with subject matter experts to develop diagnostics and prognostic algorithms for vehicle components and systems.
• Process and analyze large-scale telemetry data using Python, SQL, Spark, Hadoop, and cloud platforms.
• Utilize MATLAB, Simulink, and calibration tools to develop and optimize predictive algorithms.
• Work cross-functionally to support successful implementation of production software.

Required Qualifications

• Master's degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field, or an equivalent combination of education and experience.
• 4+ years of experience applying statistical methods such as ANOVA, PCA, correspondence analysis, clustering, factor analysis, multivariate analysis, neural networks, causal inference, and Gaussian regression.
• 3+ years of experience with Python and SQL.
• Experience with C++ programming.
• Experience with data science methodologies and cloud-based data platforms.
• Experience with embedded controls, onboard diagnostics, sensor processing, and physics-based modeling.
• Experience using numerical modeling and simulation tools such as MATLAB and Simulink.
• Experience with digital signal processing (DSP), data structures, algorithms, and software engineering principles.
• Strong analytical, communication, interpersonal, and problem-solving skills.
• Self-motivated with the ability to work in cross-functional teams.

Preferred Qualifications

• PhD in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Physics, Mathematics, or a related field.
• Experience in dynamic systems, controls, robotics, or prognostics and health management.
• Experience developing automotive prognostics using connected vehicle data.
• Experience applying machine learning methods including time-series forecasting, random forests, clustering, and neural networks.
• Experience with Python, R, Spark, and Hadoop.
• Experience developing embedded automotive software using MATLAB and C++.
• Familiarity with ATI and ETAS calibration tools.
• Excellent verbal and written communication skills.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You’ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.