Calibration Engineer - Virtual Capability & Automation Specialist

Description

Overview
General Motors is seeking a highly motivated Calibration Engineer - Virtual Capability & Automation Specialist to advance the development of virtual capabilities that accelerate and optimize EV propulsion calibration. This role focuses on building scalable simulation environments, automation tools, and data workflows that reduce development time, improve model accuracy, and enable efficient calibration through virtual-first methods.

Key Responsibilities

Develop and deploy virtual calibration models, tools, and environments using simulation platforms such as MATLAB/Simulink, Co-Simulation frameworks, and related technologies.

Create and maintain automation workflows for calibration execution, data processing, and report generation using Python, C++, or similar programming languages.

Integrate virtual calibration solutions with Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) systems to support end-to-end validation.

Partner with propulsion calibration teams to identify process inefficiencies and implement virtual and automated solutions that improve speed, quality, and repeatability.

Analyze simulation and vehicle test data to validate models and refine calibration strategies.

Document tools, workflows, and best practices to support scalable adoption across teams.

Provide training and technical support to engineers using virtual calibration and automation tools.

Collaborate cross-functionally to define requirements and roadmap enhancements for future virtual capabilities.

Required Qualifications

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, or a related field.

3+ years' experience with object-oriented programming (Python, C++, Java, or similar) for tool or workflow development.

Working knowledge of vehicle propulsion systems, controls, and/or vehicle dynamics.

Strong analytical and problem-solving skills with the ability to translate complex challenges into scalable technical solutions.

Ability to manage multiple priorities in a fast-paced, collaborative environment.

Effective communication skills with the ability to present technical concepts to diverse stakeholders.

Preferred Qualifications

Experience with EV or electrified propulsion calibration, particularly using virtual or model-based methods.

Demonstrated experience developing automation for engineering or data analysis workflows.

Familiarity with HIL/SIL testing and model validation processes.

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This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

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Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

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