Senior Principal Architect, Digital Twin

Caterpillar · Industrial · Irving, TX

This role focuses on architecting and implementing high-fidelity digital twins for systems, machines, and job sites, translating business needs into scalable simulation architectures. It involves defining strategy, developing roadmaps, creating architecture deliverables, and determining supporting infrastructure, with a strong emphasis on NVIDIA Omniverse and integrating various simulation technologies, including machine learning-based simulations.

What you'd actually do

  1. Establish Vision & Strategy: Work with senior management to define the long-term vision, architecture, and processes for simulation and digital twinning across products, job sites, and workflows.
  2. Roadmap Development: Partner with leadership to establish a multi-year simulation and digital twin roadmap, ensuring alignment with business priorities, product development cycles, and customer needs.
  3. Translate Business Requirements Into Simulation Solutions: Interpret business and technical requirements, identifying where simulations and digital twins can improve decision-making, reduce validation time, enhance customer value, or de-risk design choices.
  4. Develop Architecture & Technical Deliverables: Create detailed architecture deliverables, including model design standards, interoperability requirements, data connections, data annotations architecture, and simulation workflows that support enterprise-level problem solving.
  5. Define Supporting Technical Infrastructure: Determine the technologies, platforms, and integration patterns required to support simulation and digital twin capabilities—including selection of annotation tools & methods, modeling tools, cloud/edge infrastructure, data pipelines, and validation/testing approaches.

Skills

Required

  • Design, Architecture
  • Data Architecture
  • Platform Architecture
  • Requirements Analysis
  • Target Architecture
  • system-level simulation
  • digital twin technologies
  • multi-physics modeling
  • data driven/statistic simulations
  • discrete-events simulation
  • machine learning based simulation
  • NVIDIA Omniverse
  • USD‑based workflows
  • real‑time physics
  • high‑fidelity rendering
  • collaborative simulation pipelines
  • integration with external model sources
  • information architecture for simulation data
  • cloud/edge compute
  • IoT data integration
  • data annotation and labeling
  • real‑time telemetry ingestion
  • simulation architecture
  • model governance
  • verification/validation practices
  • integration of simulations

Nice to have

  • Master’s or PhD preferred
  • equivalent experience
  • CARLA
  • Dynasty
  • Simulink/Modelica
  • AMESim
  • ANSYS
  • Adams
  • GT‑Suite
  • Unity/Unreal
  • robotics/automation frameworks

What the JD emphasized

  • deploying Omniverse‑based digital twins strongly preferred
  • machine learning based simulation
  • NVIDIA Omniverse

Other signals

  • digital twins
  • simulation architectures
  • NVIDIA Omniverse
  • machine learning based simulation