Senior Digital Twin Software Engineer

• 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

• 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)

• 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

Relocation benefits