Senior Digital Twin Software Engineer

General Motors•Austin, TX

17h•Hybrid

About The Position

The ARC Robotics Strategy & Virtual Systems team is a dynamic, fast-paced group responsible for designing and developing Digital Twin applications for manufacturing plants across the globe. As a Senior Software Engineer on the Digital Twin team, you 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.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related field
5+ years of experience developing full-stack software applications in multiple programming languages such as Java, C#, C++, Python, JavaScript/TypeScript with modern frameworks (e.g., React, Angular)
Experience with systems integration and/or interoperating with Digital Twin or IoT platforms
Understanding of 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 (e.g., Git, unit/integration testing, build automation, CI/CD)

Nice To Haves

Master’s degree in Computer Science, Computer Engineering, or a related field
Experience with simulation, modeling, or real-time analytics; 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, Chart.js) for graphs, timelines, and dashboards
Experience handling and visualizing large binary artifacts (logs, traces, 3D/2D simulation outputs, video)
Experience in a cloud environment (AWS, Azure, GCP) and with infrastructure-as-code tools
Familiarity with manufacturing, automotive, or industrial domains
Understanding of cybersecurity best practices for connected systems

Responsibilities

Design and implement software for robotic simulation environments and automation frameworks
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 modern front-end frameworks (e.g., React or similar), TypeScript/JavaScript, and service-oriented backends (e.g., Node.js, 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
Collaborate with robotics engineers, data scientists, and system architects to integrate software into autonomous platforms
Optimize code for efficiency, scalability, and reliability in real-time systems
Conduct testing, debugging, and validation of software components
Document software designs, processes, and best practices for maintainability and knowledge sharing
Serve as a Subject Matter Expert (SME) for at least one platform or application component