The Director of Digital Ecosystem and Simulation will lead ARC's digital tooling portfolio focusing on automation platforms and simulation environments while managing a high-performance engineering team.

Description
Director of Digital Ecosystem and Simulation
The Autonomous Robotics Center (ARC) is General Motors' enterprise hub for designing building and deploying advanced autonomous robotic solutions that transform how vehicles and parts move through manufacturing and warehousing. ARC combines hardware software AI and systems integration to deliver safe reliable and scalable automation that improves safety quality and overall productivity aligned with its North Star: zero commissioning zero programming zero incidents.
As Director of Digital Ecosystem and Simulation you will own the strategy architecture and end-to-end delivery of ARC's digital tooling portfolio including the software platform that powers our automation stack and the simulation and digital twin environments that validate it. This is a hands on leadership role: you will build and lead a high performing engineering team while remaining close enough to the technology to make sound architectural and design decisions.
What You Will Execute and Deliver
• Platform tooling across the Automation OS stack including hardware abstraction layer (HAL) interfaces fleet orchestration services CI/CD pipelines for automation cells and a robust developer experience for internal and external consumers.
• Simulation and digital twin infrastructure including headless virtual controllers I/O abstraction layers environment modeling and integration with physics and 3D engines.
• Toolchain strategy that enables virtual commissioning at the cell level - with containerizable testable automation logic that goes beyond 3D visualization.
• Team building and technical leadership for a growing engineering organization spanning software simulation and systems integration.
• Stakeholder alignment and communication across ARC leadership GM manufacturing engineering and external technology partners to ensure cohesive roadmaps and successful deployments.
Required Qualifications
• 10+ years of experience in software engineering industrial automation or robotics including at least 3 years leading engineering teams .
• Deep handson experience in at least two of the following areas:
o Industrial control systems (e.g. PLC PROFINET EtherNet/IP)
o Simulation frameworks
o Robotics middleware (e.g. ROS/ROS2)
o Cloudnative platform development
• Demonstrated understanding of digital twin and simulation architectures including the critical role of I/O abstraction in achieving reliable scalable virtual commissioning.
• Proven experience building developer facing platforms or internal tool chains not solely end user applications.
• Demonstrated ability to operate effectively in ambiguity defining and driving a roadmap in a rapidly evolving environment within a large matrixed organization.
• Strong written and verbal communication skills with the ability to translate between shopfloor realities and software/architecture decisions for diverse stakeholder groups.
Preferred Qualifications (Competitive Edge)
• Experience with containerized simulation environments headless controllers or virtual commissioning pipelines in production settings.
• Familiarity with AMR fleet management multiagent orchestration or manufacturing digital twin platforms .
• Background working in brownfield manufacturing environments with a clear understanding of how to introduce new architectures that must coexist with 30-year legacy control systems and infrastructure.
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