Compute Solution Architect

Job summary

Responsibilities

As a Compute Solution Architect, you will support our strategic AI Infrastructure customers. In this role, you will be a trusted technical advisor, helping clients design, deploy, and scale AI solutions while managing large-scale GPU workloads involving thousands of GPUs.

• Serve as the primary technical point of contact, troubleshooting and resolving for AI Infrastructure services.
• Lead the delivery of strategic GPUaaS contracts and ensure all commitments are met (timelines, SLAs, support, …).
• Act as a bridge to product and support teams, providing customer feedback, relaying feature requests, and ensuring alignment with customer requirements.
• Guide customers in optimizing GPU performance for ML training and inference workloads, ensuring seamless integration and scalability.
• Partner with the sales team to identify new opportunities, promote the latest products, and deliver technical presentations.

What they're looking for

• 5-10 + years in roles like Cloud Solutions Architect, Technical Account Manager, or Customer Engineer, with hands-on experience in cloud services and AI/ML workloads.
• Track record as a technical pre-sales/solutions architect driving infrastructure engagements with partners through to production.
• Strong understanding of AI/ML concepts and advanced implementations.
• Proven success driving technical engagement and technical adoption.
• Working knowledge of cluster orchestration and scheduling: Slurm, Kubernetes, and batch/HPC workload management.

Tech stack

• Kubernetes
• PyTorch
• JAX
• TensorFlow
• vLLM