Simulation Architect

Gradera•Greenwood Village, CO

2d•$175,000 - $225,000•Remote

About The Position

We are seeking a seasoned Simulation Architect to define the enterprise simulation strategy, architectural blueprints, and technical governance for digital twin platforms across multiple operational domains. This is a strategic architecture role responsible for establishing simulation patterns, integration frameworks, and standards that enable scalable, interoperable digital twin ecosystems. You will set the long-term technical vision for simulation capabilities, design cross-domain integration architectures, and establish enterprise-wide standards for physics-based modeling, scenario orchestration, and real-time decision support. You will work at the intersection of business requirements and technical possibility, translating operational needs into simulation architectures that bridge multiple physical and operational systems. We value candidates with deep simulation architecture experience across industrial domains whether from enterprise digital twins, large-scale game engine deployments, scientific computing platforms, or complex systems engineering. Our simulation architecture encompasses: Enterprise Simulation Patterns Multi-domain simulation orchestration and federation Digital twin composition and scene architecture patterns Real-time and batch simulation execution frameworks Simulation state management and temporal consistency Model validation, verification, and governance Standards & Interoperability OpenUSD (Universal Scene Description) for enterprise scene composition FMI/FMU (Functional Mock-up Interface) for model interoperability Simulation data exchange standards and protocols Cross-platform integration architecture API and service interface design Solution Architecture Integration with enterprise data platforms (data lakes, streaming, warehouses) ML/AI pipeline integration for predictive and prescriptive analytics Optimization engines and constraint solving frameworks Real-time visualization and rendering architecture Cloud-native deployment and scaling patterns

Requirements

12+ years of experience in simulation engineering, systems architecture, or digital twin platforms, with 6+ years in architecture roles
Master's or PhD in Computer Science, Systems Engineering, Physics, Aerospace, Robotics, or related field
Proven track record of defining enterprise simulation architectures for production systems
Deep understanding of simulation fundamentals across discrete-event, continuous, and agent-based paradigms
Experience architecting solutions that integrate simulation with enterprise data, analytics, and ML platforms
Strong knowledge of enterprise integration patterns, microservices architecture, and API design

Nice To Haves

Experience architecting digital twin platforms for industrial operations (Manufacturing, Logistics, Energy, Transportation)
Background in multi-domain systems engineering or Model-Based Systems Engineering (MBSE)
Contributions to OpenUSD, FMI standard development, or simulation industry working groups
Experience with cloud-native simulation deployment (Kubernetes, serverless architectures)
Knowledge of real-time visualization architecture (WebGL, Three.js, game engines)
Familiarity with operations research, optimization frameworks, and constraint programming
Experience with physics engines (PhysX, Bullet) and multi-physics simulation platforms
Publications, patents, or conference presentations in simulation architecture or digital twins
Enterprise architecture certifications (TOGAF, Zachman) or equivalent experience
Client-facing experience in solution architecture, technical pre-sales, or advisory roles

Responsibilities

Define enterprise simulation strategy aligned with digital twin roadmap and business objectives
Establish architectural principles, patterns, and blueprints for simulation platforms across multiple domains
Design integration architecture between simulation platform and enterprise systems (data, ML/AI, visualization)
Create reference architectures for scenario management, what-if analysis, and operational optimization
Establish simulation modeling standards, governance frameworks, and best practices for model validation
Drive adoption of industry standards (OpenUSD, FMI/FMU) and define data contracts for simulation interoperability
Design co-simulation frameworks for multi-fidelity model integration across discrete-event, continuous, and physics-based paradigms
Architect cloud-native deployment patterns and simulation-as-a-service capabilities
Evaluate and select simulation technologies, tools, and frameworks aligned with technical strategy
Partner with domain experts, data architects, and ML teams to translate operational requirements into simulation architectures
Provide architectural guidance, reviews, and mentorship to simulation development teams
Assess technical risks, define mitigation strategies, and present architectural proposals to technical leadership