Engineer - Digital Twin and Validation

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Engineer - Digital Twin and Validation

Join the ARC Robotics Technology Development team and help reduce development risks for next generation automation before it reaches the plant floor. As an Engineer on the ARC Robotics Technology Development team, you will own digital twin creation and sim-to-real validation for advanced robotics across GM. This role focuses on building accurate digital assets, aligning them to physical systems, coordinating with Facilities and contractors to maintain that alignment through the physical build process, and defining and executing validation methods that confirm virtual models represent real world performance.

Justification

Critical skills needed to support strategic automation initiatives and technology development across GM Manufacturing Operations.

Work Arrangement

On-site. This role requires the employee to be onsite five days per week.

The Role

The ARC Robotics Technology Development team develops advanced robotics and automation solutions for GM Manufacturing Operations. A key part of that work is reducing deployment risk by proving system behavior in digital environments and confirming that digital models accurately reflect physical hardware and layouts.

As an Engineer focused on Digital Twin and Validation, you will create and maintain digital twins for robotic systems, electro-mechanical assemblies, and lab test cells. You will ensure digital assets stay aligned with physical hardware, work with engineering teams, facilities, and contractors to bring physical builds into conformance with approved models, and define and execute validation methods to confirm sim-to-real alignment.

What You Will Do

• Create and maintain digital twins for robotic systems, integrated equipment, and lab test cells

• Develop digital assets that reflect physical layouts, interfaces, motion limits, and process interactions

• Work with Mechanical Systems, Electrical Systems, and Electro-Mechanical Integration engineers to keep models aligned with design intent

• Compare digital assets to physical assets and identify gaps in layout, configuration, or behavior

• Partner with Facilities and contractors to help ensure lab builds match approved digital models

• Drive alignment between virtual and physical environments through coordinated model and hardware updates

• Define validation criteria and acceptance thresholds for sim to real alignment

• Develop validation plans and test methods to verify digital twin accuracy

• Execute validation tests in lab environments and analyze differences between modeled and real world results

• Document results, deviations, and corrective actions clearly and consistently

• Improve digital twin workflows and sim to real validation practices across ARC

Your Skills and Abilities

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Robotics, Mechatronics, or related field

• Experience with digital modeling, robotic simulation, manufacturing simulation, or digital twin tools

• Strong understanding of automated systems, equipment layout, and manufacturing process interaction

• Ability to create accurate digital representations of physical systems and environments

• Experience developing validation criteria, test plans, and structured test methods

• Strong analytical skills and ability to identify sim to real gaps

• Ability to work across engineering, Facilities, contractor, and stakeholder teams

• Strong written and verbal communication skills

• Willingness to support hands on lab validation activities

What Will Give You a Competitive Advantage

• Advanced degree in Robotics, Manufacturing, Mechanical Engineering, or related field

• Experience with Siemens Process Simulate or similar digital twin and simulation platforms (Nvidia Issac Sim, Roboguide...)

• Experience in automotive manufacturing, robotics, or industrial automation

• Familiarity with offline programming, virtual commissioning, or model based development workflows

• Experience coordinating digital models with physical build execution

• Track record of improving sim to real alignment through structured validation methods

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as onsite. This means the selected candidate is expected to report to a specific location on a full-time basis.

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

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources ( .

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

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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 ( .

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