VP of Engineering, GPU Platform & Scale Systems

Stanton House; United States; On-site; USD 260,000 - 380,000; Full time

Job summary

Stanton House is seeking a highly technical VP of Engineering to lead and scale the core systems powering GPU-intensive training and inference workloads for an open access cloud platform. You will set the engineering strategy, build and develop teams, and guide architectural decisions and execution.

The role focuses on GPU orchestration, scheduling, networking, storage, and distributed systems, with emphasis on reliability, observability, and incident response.

Qualifications

• Experience with large-scale infrastructure and production systems.
• Strong leadership of infrastructure teams while staying hands-on.
• Deep knowledge of Kubernetes, Linux, and networking fundamentals.

Responsibilities

• Design and scale GPU orchestration, scheduling, networking, storage, and distributed systems.
• Improve reliability, performance, observability, and incident response practices.
• Build and lead Site Reliability Engineering and Platform Engineering functions.
• Collaborate with executive leadership on infrastructure investments, vendor management and capacity planning.

Skills

Kubernetes

Linux

Networking

Infrastructure leadership

System design

Job description

Stanton House is seeking a highly technical VP of Engineering to lead and scale the core systems powering GPU-intensive training and inference workloads for an open access cloud platform. You will set the engineering strategy, build and develop teams, and guide architectural decisions and execution.

The role focuses on GPU orchestration, scheduling, networking, storage, and distributed systems, with emphasis on reliability, observability, and incident response.