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

Your work shapes the world at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do—but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here—we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

About the Role

At Caterpillar, technology always has a purpose: to solve our customers' toughest challenges. Through Cat Technology, we build the intelligence layer that connects machines, data, and people to make jobsites safer, more productive, and more sustainable. By combining deep domain expertise in physical systems with software, connectivity, autonomy, and AI, we deliver solutions that work in the real world—on real jobsites, at global scale.

You'll build and deploy against one of the most unique data foundations—over 1.6 million connected assets generating real-world data daily. These data and platform capabilities enable the development of AI models, edge computing architectures, and software systems that scale across fleets, products, and industries. The result will be a new generation of machines that continuously learn, improve, and deliver performance at scale.

As the Senior Manager of Digital Architecture for Simulation, Digital Twin & AI Development, you will lead 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.

The role is accountable for the architecture of digital twin platforms, simulation environments, synthetic data pipelines, AI development platforms, and AI Factory infrastructure, including GPU compute, high-performance storage, networking, orchestration, MLOps, and model lifecycle management capabilities. Partnering with engineering, data science, perception, and robotics teams, this leader ensures that real-world machine data, virtual environments, and AI development workflows operate as a connected ecosystem that accelerates innovation and continuously improves autonomous system performance.

Success in this role is measured by the organization's ability to rapidly develop, validate, and scale Physical AI capabilities while maximizing the value of simulation, digital twins, AI infrastructure, and the NVIDIA ecosystem to create increasingly intelligent, autonomous, and adaptable machines.

Responsibilities

• Lead the architecture organization responsible for simulation, digital twins, synthetic data, AI model development, and AI Factory capabilities.
• Define the strategy, architecture, and technical roadmap for platforms, infrastructure, and software ecosystems supporting the complete lifecycle of Physical AI development.
• Architect digital twin platforms, simulation environments, synthetic data pipelines, AI development platforms, and AI Factory infrastructure (GPU compute, high-performance storage, networking, orchestration, MLOps, and model lifecycle management).
• Ensure real-world machine data, virtual environments, and AI development workflows operate as a connected ecosystem to accelerate innovation and improve autonomous system performance.
• Partner with engineering, data science, perception, and robotics teams to enable machines to perceive their environment, make informed decisions, and support safer, more productive operations.
• Transform technology stacks into strategic capabilities that accelerate Physical AI adoption and create a sustainable competitive advantage.

Requirements

• Progressive career in software engineering and architecture with a focus on data (typically 12+ years).
• Demonstrable experience leading technology development for enterprise-scale systems in public cloud and hybrid ecosystems.
• Team leadership, management, and budget responsibility experience (typically 5+ years).
• Expert knowledge of data architecture, platform architecture, and organizational leadership.
• Strong analytical thinking and effective communication skills.

Qualifications

• Digital Twin & Virtual Environment Leadership: Deep experience defining and scaling digital twin ecosystems that model machines, autonomous systems, worksites, and operational environments. Understanding of how digital twins connect real-world machine data, simulation platforms, and AI development workflows.
• 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.

Benefits

• Medical, dental, and vision benefits (subject to plan eligibility, terms, and guidelines).
• Paid time off (vacation, holidays, volunteer time, etc.).
• 401(k) savings plans.
• Health Savings Account (HSA).
• Flexible Spending Accounts (FSAs).
• Health lifestyle programs.
• Employee Assistance Program.
• Voluntary benefits and employee discounts.
• Career development opportunities.
• Incentive bonus.
• Disability benefits.
• Life insurance.
• Parental leave.
• Adoption benefits.
• Tuition reimbursement.

These benefits also apply to part-time employees.

Pay

Pay Range: $172,630.00 - $258,950.00. Compensation and benefits may vary depending on job level, market location, job-related knowledge, skills, individual performance, and experience.

Schedule

This position requires working onsite five days a week at the Irving, TX office (Dallas). Domestic relocation assistance and visa sponsorship are available for this position.