Solutions Architect, GPU Infrastructure

• Meet client engineering teams to learn their workloads, data, timelines and constraints.
• Review each build part by part, from CPU, memory and GPUs to network adapters, local storage and cooling, against the workload and the site.
• Size the network fabric and storage to the GPU count and to how training and inference read and write data.
• Work out the power and cooling each build needs, and match it to space at the client's site or capacity Rillor contracts.
• Bring in financing or a forward agreement when a client wants to pay over time or fix a price ahead of delivery.
• Write the technical sections of quotes and proposals, with every part and test stated.
• Hand each signed project to the deployment team with its design, assumptions and open questions.
• Keep reference designs current as new GPU systems and network parts reach the market.

• 5+ years in solutions architecture, sales engineering or infrastructure engineering for HPC, GPU or data center systems.
• Working knowledge of GPU servers, high-speed networking and storage for training and inference.
• Able to read a workload and size hardware to it.
• Clear writing and presenting for engineers and buyers.
• Comfort with pricing, lead times and trade-offs in a quote.

• NVIDIA HGX, GB200 NVL72 or AMD Instinct systems.
• Data center power and cooling design.
• Equipment leasing or hardware financing.
• Kubernetes or Slurm on GPU clusters.

$126,000 to $176,000 a year

Full-time W-2 employment with health insurance, a retirement plan and paid leave.

No application deadline. We accept applications for this role on an ongoing basis.

Remote, United States