Founding Solutions Architect

Skills

About the Role

You will lead customer workload discovery across training, post-training, and inference. You will design production-ready architectures, run benchmarks and proofs of concept, and turn technical results into defensible business cases. You will build repeatable benchmark and reference-architecture playbooks, support platform adoption, and share workload insights with product and research priorities.

Requirements

• ML infrastructure, distributed systems, cloud, or GPU-compute background
• Knowledge of modern training and inference stacks, CUDA/GPU environments, and model-serving patterns
• Customer-facing experience in solutions architecture, sales engineering, forward-deployed engineering, or a similar role
• Ability to communicate with ML engineers and executive stakeholders
• Experience using LLMs, automation, and programmatic tools

Responsibilities

• Lead technical discovery across training, post-training, and inference workloads
• Understand customer GPU requirements, cluster topology, networking, storage, utilization patterns, and performance objectives
• Design production-ready customer architectures on Prime infrastructure
• Partner with engineering on migration and deployment requirements
• Own workload benchmarks and proofs of concept against customer baselines and competitive alternatives
• Translate latency, throughput, utilization, and cost results into technical business cases
• Set standards for benchmark methodology, reproducibility, and honest comparison
• Develop repeatable benchmark and reference-architecture playbooks
• Support technical evaluation and adoption of Model Factory
• Feed customer workload insights into product and research priorities

Benefits

• Flexible work with remote or San Francisco options
• Visa sponsorship
• Relocation support
• Professional development budget
• Team off-sites and conferences