Founding Solutions Architect

Highlights

• Own workload benchmarks and POCs to make Prime Intellect the technical winner.
• Design production architectures for frontier training and inference workloads.
• Write the playbook for benchmarks and reference architectures from scratch.

What they offer

• Meaningful equity
• Flexible work (remote or San Francisco)
• Visa sponsorship and relocation support
• Professional development budget
• Team off-sites and conferences

Ideal candidate

High-ownership, customer-facing builder who thrives in ambiguity and loves proving value with real workloads. You enjoy sitting with ML teams, communicating with executives, and defining how open infrastructure wins.

Requirements

• 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 similar
• Ability to communicate fluently with both ML engineers and executive stakeholders
• Strong bias toward proving claims with real customer workloads and benchmarks rather than slides
• High ownership with bias to see gaps and build the fix proactively
• AI-native working style using LLMs, automation, and programmatic tools to move faster