GPU Cluster Architect

This is a remote, high-impact architecture role focused on designing next-generation AI infrastructure at massive scale.
You’ll make end-to-end architectural decisions spanning GPU compute, high-performance networking, storage, reliability, and control planes.
Your work will shape how tens of thousands of GPUs are interconnected, powered, cooled, monitored, and optimized across multiple data center sites.
You’ll model demanding AI and machine-learning workloads, including large language model training and inference, to guide critical performance and infrastructure tradeoffs.
The role combines deep systems expertise with hands-on collaboration across networking, storage, site reliability, and data center engineering teams.
You’ll operate in a fast-moving, engineering-led environment where scalability, performance, reliability, and innovation are central to the work.
This is an opportunity to influence the architecture of large-scale AI infrastructure while solving complex distributed systems challenges.

• 5+ years of experience designing and architecting large-scale computing or GPU clusters.

• Deep understanding of modern GPU architectures, including NVIDIA, AMD, or comparable platforms.

• Strong experience with high-performance computing interconnects, particularly InfiniBand and RoCE.

• Solid background in systems architecture, networking, hardware infrastructure, and hardware reliability.

• Understanding of GPU cluster design principles, including compute topology, network architecture, storage integration, and control-plane considerations.

• Experience evaluating infrastructure performance and making architecture decisions based on workload characteristics such as latency, bandwidth, and compute density.

• Experience with scripting or software development for automation, telemetry, monitoring, or infrastructure tooling using languages such as Python or Go.

• Ability to analyze technical signals and operational data to identify infrastructure issues and inform design improvements.

• Strong cross-functional collaboration skills, with the ability to work effectively with networking, storage, site reliability, and data center engineering teams.

• Strong analytical and problem-solving abilities, with a practical approach to complex infrastructure challenges.

• Ability to work independently in a fast-moving environment while taking ownership of significant architectural decisions.

• Excellent communication skills and the ability to explain complex technical architectures and tradeoffs to technical stakeholders.