Lead AI Factory Architect for Autonomous Systems

Caterpillar Inc.; Irving (TX); On-site; USD 159,000 - 259,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Paid time off plan

401(k) savings plans

Tuition Reimbursement

Job summary

Caterpillar Inc. in Irving, TX is seeking a Principal Architect for AI Factory to define the data architecture enabling Physical AI and autonomous systems at scale.

You will establish data domains, models, data products, and standards transforming vast jobsite data into AI-ready assets for development and deployment across the enterprise. Working at the intersection of data, AI, and autonomy, you will guide engineers and data scientists to efficiently train, validate, and deploy next-generation

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, or related field.
• Experience architecting AI infrastructure on-premises and in the cloud.
• Strong Python and C++ development.
• Experience with GPU clusters, distributed training, and AI workloads.

Responsibilities

• Developing detailed architecture deliverables to solve business problems.
• Designing an application’s technical infrastructure and testing approaches.
• Leading evaluation and deployment of new technologies to enhance digital capabilities.
• Collaborating with cross-functional teams to deliver digital solutions that meet business results.

Skills

AI Factory infrastructure

Workload orchestration

Distributed training

Data flywheel

MLOps & lifecycle

NVIDIA edge deployment

Software engineering

Education

Bachelor’s degree in CS/CE or related field

Master’s/Doctoral degree preferred

Tools

Kubernetes

Terraform

PyTorch

TensorRT

DeepSpeed

Job description

Caterpillar Inc. in Irving, TX is seeking a Principal Architect for AI Factory to define the data architecture enabling Physical AI and autonomous systems at scale.

You will establish data domains, models, data products, and standards transforming vast jobsite data into AI-ready assets for development and deployment across the enterprise. Working at the intersection of data, AI, and autonomy, you will guide engineers and data scientists to efficiently train, validate, and deploy next-generation