Principal Architect - AI Factory (Physical AI)

Location: Full-time onsite at the Irving, Texas office in the Dallas area. Domestic relocation assistance is available, and visa sponsorship is available.

Salary: $159,120–$258,570 per year

Company

hirify.global develops connected machines, digital platforms, autonomy, and AI solutions for construction and other industrial applications.

What you will do

• Define data architecture, data domains, canonical data models, data products, and standards for Physical AI and autonomous systems.
• Design application infrastructure, including databases, programming languages, utilities, testing approaches, and platform interfaces.
• Develop architecture deliverables, implementation plans, reference architectures, and technical roadmaps.
• Lead the evaluation and deployment of technologies for distributed AI infrastructure, data platforms, and digital capabilities.
• Partner with cross-functional platform teams, Cat Digital Division, NVIDIA, and cloud providers to deliver scalable enterprise solutions.
• Enable engineers and data scientists to train, fine-tune, validate, deploy, and monitor AI models for real-world machines.

Requirements

• Strong knowledge of data architecture, platform architecture, target architecture, and requirements analysis.
• Typically 8+ years architecting distributed AI infrastructure with multi-node GPU clusters, high-throughput storage, and hybrid cloud or on-premises environments.
• Deep experience with Kubernetes GPU workloads, workload orchestration, infrastructure as code, distributed training, and performance optimization.
• Experience with multimodal sensor-data pipelines, lakehouse or object storage, ETL, dataset versioning, lineage, synthetic data, and MLOps model lifecycles.
• Strong Python and working C++ skills, plus containers, CI/CD, cloud platforms, and software engineering practices.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related field; a master’s or doctoral degree is preferred.

Nice to have

• Experience with Physical AI, autonomous vehicles, robotics, simulation-in-the-loop systems, reinforcement learning, or AI Factory reference architectures.
• Experience with NVIDIA technologies such as DGX, NeMo, NIM, Triton, TensorRT, CUDA, Jetson, or DRIVE.
• Experience with observability, SRE practices, FinOps, security, and governance for safety-relevant autonomy software.

Culture & Benefits

• Work on AI applications for physical machines, autonomous construction sites, and complex real-world environments.
• Medical, dental, and vision benefits, paid time off, parental and adoption benefits, and life and disability insurance.
• 401(k) savings plans, HSA, FSAs, incentive bonus, and employee discounts.
• Career development and tuition reimbursement programs.