Digital Twin Full-Stack Software Engineer

Job Description

The Role:

The ARC Robotics Strategy & Virtual Systems team is dynamic and fast-paced team responsible for designing and developing Digital Twin applications for manufacturing plants across the world. A Software Engineer on the Digital Twin team will design build and scale core services SDKs and high-performance 3D runtime components that power immersive digital twins across products factories and operations. This role is ideal for someone who enjoys owning features end-to-end: from schema and API design through front-end implementation and production deployment.

What Youll Do (Responsibilities)

• Deliver scoped features end-to-end (requirements implementation testing deployment and observability) with guidance from senior engineers and architects.
• Write high-quality maintainable code; participate in code reviews; and follow secure development and clean code practices.
• Build and integrate 3D modules (e.g. rendering simulation physics spatial indexing) with platform services via well-designed APIs and data contracts.
• Work across the stack using tools like modern front-end frameworks (e.g. React or similar) TypeScript/JavaScript and services-oriented backends (e.g. Python Java or C#).
• Build and iterate on web-based playback and visualization tools that rely on WebRTC WebSockets and streaming media pipelines to deliver simulation replays.
• Work with databases and storage systems to organize simulation outputs logs and artifacts for fast retrieval and inspection.
• Integrate with cloud services data streams and enterprise systems (telemetry/IoT PLM/CAD MES analytics) to keep twins up-to-date and interactive.
• Contribute to engineering best practices: CI/CD automated testing performance profiling documentation and reliability/observability metrics.

Your Skills & Abilities (Required Qualifications)

• Bachelors degree in computer science/engineering or related field.
• Experience developing full-stack software applications in multiple programming languages such as Java C# C Angular React Python C etc.
• Experience with systems integration or interoperating with Digital Twin/IoT platforms.
• Understands code quality analysis results and remediation mechanisms.
• Strong oral and written communication skills with the ability to work independently and collaboratively across teams
• Experience designing or consuming APIs and platform components; familiarity with reusable SDKs/libraries and REST/gRPC/WebSocket services.
• Solid version control and testing practices (Git unit/integration testing build automation CI/CD).

What Can Give You a Competitive Edge (Preferred Qualifications)

• Masters degree in computer science/engineering or related field.
• Experience with simulation modeling or real-time analytics; any exposure to mentoring peers or coordinating small engineering efforts is a plus.
• Experience with: time-series or metrics systems (e.g. Prometheus InfluxDB OpenTelemetry Grafana).
• Experience with job orchestration/compute platforms (e.g. Kubernetes job queues batch processing).
• Experience with visualization libraries (e.g. D3 Plotly ) for graphs timelines and dashboards.
• Experience with handling and visualizing large binary artifacts (logs traces 3D/2D simulation outputs video).
• Experience in a cloud environment (AWS Azure GCP) and infrastructure-as-code tools.
• Familiarity with manufacturing automotive or industrial domains.
• Understanding of cybersecurity best practices for connected systems.

About GM

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Why Join Us

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Benefits Overview

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