Senior Digital Twin Software Engineer

General Motors
Mountain View, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Mountain View, United States of America

Tech stack

Java
JavaScript
API
Amazon Web Services (AWS)
Component-Based Software Engineering
Build Automation
Azure
Batch Processing
C Sharp (Programming Language)
C++
Cloud Computing
Program Optimization
Software Quality
Databases
Computer Engineering
Continuous Integration
Data Visualization
Software Debugging
Python
Node.js
Prometheus
Software Deployment
Data Streaming
Systems Integration
TypeScript
Web Application Frameworks
WebSocket
WebRTC
Highcharts
Digital Twin
Google Cloud Platform
Real Time Systems
React
Grafana
GIT
Angular
Integration Tests
Kubernetes
Infrastructure Automation Frameworks
Information Technology
InfluxDB
Plotly
Front End Software Development
Api Design
Software Version Control
Programming Languages

Job description

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.

What You'll Do (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

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)

What Can Give You a Competitive Edge (Preferred Qualifications)

  • 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

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}.

About the company

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., 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.

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