Founding Solutions Architect
Prime Intellect10 hours ago
Base Salary
$250k - $320k/yr
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 Intellect 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.
- Develop repeatable benchmark, reference-architecture, and POC playbooks.
- Support technical evaluation and adoption of Model Factory and feed customer workload insights into product and research priorities.
Requirements
- Strong background in ML infrastructure, distributed systems, cloud, or GPU compute.
- Working 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 effectively with ML engineers and executive stakeholders.
- Bias toward validating claims with real customer workloads and benchmarks.
- High ownership and ability to build processes and solutions from scratch.
- AI-native working style using LLMs, automation, and programmatic tools.
- Preferred: hands-on experience with large-scale distributed training using FSDP, Megatron, DeepSpeed, or similar tools.
- Preferred: experience with high-throughput inference using vLLM, SGLang, or TensorRT-LLM.
- Preferred: experience benchmarking H100, H200, and GB200 hardware and InfiniBand or RoCE interconnects.
- Preferred: background at a GPU cloud, neocloud, hyperscaler AI team, or frontier lab infrastructure team.
- Preferred: experience building a solutions or forward-deployed function from scratch.
Benefits
- Cash compensation of $250–$320k plus meaningful equity.
- Flexible work arrangement: remote or San Francisco, with travel to customer sites as needed.
- Visa sponsorship and relocation support.
- Professional development budget.
- Team off-sites and conferences.
- Opportunity to help build infrastructure for open AI.
Categories
Solutions Engineering
About Prime Intellect
Prime Intellect builds a full-stack platform for training frontier AI models, giving enterprises access to distributed compute and agentic training infrastructure to develop their own systems. The company operates as a platform and open research lab, with customers leveraging its infrastructure rather than building it in-house. Headquartered in San Francisco and privately held, it has raised a Series A round backed by investors including Founders Fund and NVIDIA.