Senior Manager Digital Architecture (Simulation, Digital Twin, and AI Development)

Job Summary

The Senior Manager, Digital Architecture – Simulation, Digital Twin & AI Development leads the architecture organization responsible for enabling machines to learn, improve, and scale through simulation, digital twins, synthetic data, AI model development, and AI Factory capabilities. This leader defines the strategy, architecture, and technical roadmap for the platforms, infrastructure, and software ecosystems that support the complete lifecycle of Physical AI development—from data generation and simulation to model training, fine-tuning, and validation.

What You Will Have

• Analytical Thinking: Expert Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
• Data Architecture: Expert knowledge of processes, techniques and factors that affect data architecture; ability to design blueprints on how to integrate data resources for business processes and functional support. Ability to utilize design methodologies, tools and techniques to convert business requirements and logical models into a technical design.
• Effective Communications: Expert understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
• Organizational Leadership: Expert knowledge of leadership concepts and ability to use strategies and skills to enlist others in setting, embracing and achieving objectives.
• Platform Architecture: Expert knowledge of technologies and methods to design processing mechanisms and roadmaps to execute business application systems; ability to design these roadmaps and deploy supportive interfaces for end-users to access related systems, in accordance with standards and processes.

Considerations For Top Candidates

• Digital Twin & Virtual Environment Leadership: Deep experience defining and scaling digital twin ecosystems that model machines, autonomous systems, worksites, and operational environments.
• Simulation, Synthetic Data & Physical AI Development: Strong expertise in simulation architectures, synthetic data generation, scenario modeling, and virtual validation environments used to train, test, and improve autonomous systems.
• AI Factory Infrastructure & Platform Architecture: Proven experience architecting enterprise-scale AI Factory environments, including GPU compute clusters, high-performance storage, networking, orchestration platforms, workload scheduling, distributed training, model development environments, and AI platform operations.
• NVIDIA Physical AI Ecosystem: Hands-on experience with the NVIDIA Physical AI stack, including NVIDIA Omniverse, NVIDIA Cosmos, NVIDIA Isaac, DGX systems, CUDA, NeMo, TensorRT, NIMs, and AI Factory technologies.
• Strategic Architecture Leadership & AI Transformation: Demonstrated ability to define long-term technology strategy, build and lead high-performing architecture organizations, influence executive stakeholders, and translate emerging AI technologies into scalable enterprise capabilities.