Principal Digital Architect - Simulation & Robotics Data
Core
Define data architecture enabling Physical AI and autonomous systems to learn, reason, and operate at scale by establishing data contracts, standards, and governance for massive connected asset data.
Role type
Principal Digital Architect (Simulation & Robotics Data)
Builds
Data foundations, data contracts, metadata strategies, and scalable data patterns for AI model development and robotics training.
Domain
Industrial automation, autonomous construction, Physical AI, and robotics data ecosystems.
Deliverable
production ML models
Required skills
Data architecture design, domain modeling, AI/ML data lifecycle management, multimodal data architecture, data governance and lineage, strategic architecture leadership, requirements analysis.
Preferred skills
Experience with digital twins, edge-to-cloud architectures, synthetic data generation, vector data, and mentoring senior engineering teams.
Technologies
Databases, programming languages, simulation environments, sensor/telemetry/video/image data pipelines, edge computing platforms.
Responsibilities
Design technical infrastructure for simulation and synthetic data environments; establish data standards and naming conventions; define metadata, labeling, and versioning strategies; partner with simulation and robotics teams to align data capabilities with business objectives.
Seniority
Principal, strategic leadership with hands-on architectural design