Staff Digital Twin Engineer
Core
Design, build, and evolve digital twin capabilities to support the development, validation, and operation of advanced AI compute systems and data center infrastructure.
Role type
Staff Digital Twin Engineer (Simulation & Visualization)
Builds
Digital twin environments, simulation logic, 3D visualization layers, and automated test pipelines for data center and hardware systems.
Domain
AI Compute Infrastructure / Data Center Operations / Simulation Engineering
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
MBSE methodologies, real-time simulation algorithms (kinematics, dynamics), physics engine integration, model validation/verification, scene composition, data modeling, Python/C++ software engineering, complex data integration, spatial computing concepts
Preferred skills
Rack/blade design concepts, thermal/power/airflow modeling, synthetic data generation, containerized deployment, 3D asset pipelines, CAD/CAE tools, AI/ML concepts
Technologies
NVIDIA Omniverse, OpenUSD, PhysX, Siemens NX, Ansys Twin Builder, Unity, CARLA, Docker, CI/CD
Responsibilities
Apply MBSE to drive system development and ensure traceability; develop simulation logic and behavioral models for machine/system behavior; execute model validation and verification plans; create high-fidelity 3D models and connect simulations to real-time visualization; integrate engineering and operational data into coherent digital twin environments; provide technical guidance, code review, and mentoring to engineers; establish engineering best practices for OpenUSD schemas and workflows.
Seniority
Staff, hands-on technical leadership with mentoring
