Senior Digital Twin Architect

Swoon is seeking a Digital Twin/Simulation Architect for a fully onsite role in Dallas, TX. If you have extensive experience in autonomy, robotics, and simulation - APPLY NOW!

The Digital Twin & Simulation Architect will lead the strategy, design, and implementation of high-fidelity digital twins for systems, machines, job sites, and end-to-end workflows. This leader will translate product, engineering, and operations needs into scalable simulation architectures that improve product and job site efficiency.

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.

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.

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.

Develop Architecture & Technical Deliverables

Create detailed architecture deliverables, including model design standards, interoperability requirements, data connections, and simulation workflows that support enterprise-level problem solving.

Evaluate & Deploy New Technologies

Lead the evaluation, selection, and deployment of emerging simulation tools, modeling frameworks, and enabling technologies that improve performance, scalability, or accuracy.

Enable Cross-Functional Collaboration

Work closely with engineering, autonomy, controls, software, product teams, and enterprise data groups to ensure simulation solutions meet business outcomes and integrate seamlessly with existing systems.

Integrate Existing Simulations & Models

Assess current simulation assets define the strategy to integrate, extend, or consolidate them into a cohesive digital ecosystem.

Ensure Scalable, Validated Digital Twins

Oversee model validation, correlation with physical test data, and governance processes so digital twins remain accurate and trusted for engineering and customer decision-making.

Technical Qualifications

• Strong expertise in system-level simulation and digital twin technologies. This includes but is not limited to multi-physics modeling, data-driven/statistical simulations, discrete-events simulation, and machine learning-based simulation.
• Deep expertise in NVIDIA Omniverse for building industrial-grade digital twins, including USD-based workflows, real-time physics, high-fidelity rendering, collaborative simulation pipelines, and integration with external model sources.
• Hands-on experience developing connected digital twins using Omniverse extensions (e.g., Isaac Sim, Omniverse Kit, Omniverse Code, or custom Omniverse microservices).
• Experience architecting or integrating modeling ecosystems with tools such as CARLA, Dynasty, Simulink/Modelica, AMESim, ANSYS, Adams, GT-Suite, Unity/Unreal, or robotics/automation frameworks.
• Knowledge of information architecture for simulation data, including cloud/edge compute, IoT data integration, and real-time telemetry ingestion.
• Ability to evaluate emerging technologies and strategically recommend adoption paths for simulation and digital twinning.
• Deep understanding of simulation architecture, model governance, verification/validation practices, and integration of simulations with real-time data sources.
• Background in building or guiding complex modeling frameworks for heavy machinery, robotics, automotive, aerospace, or industrial systems.

This is NOT a traditional simulation role.

Looking for candidates who have built or architected simulation environments for robotics, autonomy, autonomous vehicles, unmanned systems, industrial robotics, defense robotics, or similar physical autonomous systems.