AI Infrastructure Lead: Cloud, Edge & GPU Compute Strategy

Wendy's; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Wendy's is seeking a senior AI infrastructure leader to drive enterprise-grade AI systems across cloud, edge, and hybrid environments. You will ensure reliability, security, and cost governance for AI platforms, while defining standards across the stack.

You will lead capacity planning, benchmarking, and vendor negotiations for GPU and cloud infrastructure, and mentor engineers to set the technical direction across multiple initiatives.

Qualifications

• BS in Computer Engineering or CS with 5+ years in systems engineering and cloud architecture.
• Experience with Kubernetes, Python, and major cloud platforms.
• Deep understanding of GPU/NPU/TPU compute and inference acceleration.

Responsibilities

• Define technical standards for cloud, edge, and hybrid AI systems.
• Lead capacity planning, benchmarking, and vendor negotiations for GPU and cloud infrastructure.
• Mentor engineers and set technical direction across concurrent initiatives.
• Drive enterprise AI infrastructure strategy, governance of reliability, security and compute cost.

Skills

Kubernetes

Python

Cloud platforms

Education

Bachelor's degree in Computer Engineering or Computer Science

Tools

GPU/TPU/NPU compute acceleration

Job description

Wendy's is seeking a senior AI infrastructure leader to drive enterprise-grade AI systems across cloud, edge, and hybrid environments. You will ensure reliability, security, and cost governance for AI platforms, while defining standards across the stack.

You will lead capacity planning, benchmarking, and vendor negotiations for GPU and cloud infrastructure, and mentor engineers to set the technical direction across multiple initiatives.