Назад
Company hidden
обновлено 6 дней назад

Founding Solutions Architect (AI)

250 000 - 320 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Founding Solutions Architect (AI): Designing and validating production architectures for customer training, post-training, and inference workloads on Prime Intellect infrastructure with an accent on GPU compute, distributed systems, benchmarking, and technical discovery. Focus on building reproducible POC frameworks, comparing latency, throughput, utilization, and cost against customer baselines, and creating scalable solutions-architecture playbooks.

Location: United States; remote or San Francisco, with travel to customer sites as needed

Salary: $250,000–$320,000 plus meaningful equity

Company

hirify.global is building an open superintelligence stack that combines compute, environments, evaluations, secure sandboxes, high-performance training, and deployment for frontier AI teams.

What you will do

  • Lead technical discovery across training, post-training, and inference workloads.
  • Analyze GPU requirements, cluster topology, networking, storage, utilization, and performance objectives.
  • Design production-ready customer architectures on hirify.global infrastructure and partner with engineering on migration and deployment.
  • Own workload benchmarks and proofs of concept against customer baselines and competitive alternatives.
  • Translate latency, throughput, utilization, and cost results into technical business cases for ML engineers and executive buyers.
  • Build benchmark methodologies, reference architectures, POC frameworks, and adoption playbooks for Model Factory.

Requirements

  • Strong background in ML infrastructure, distributed systems, cloud, or GPU computing.
  • 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 fluently with ML engineers and executive stakeholders.
  • Strong ownership and a preference for validating claims with real customer workloads and benchmarks.
  • Experience using LLMs, automation, and programmatic tools to work efficiently.

Nice to have

  • Experience with distributed training technologies such as FSDP, Megatron, or DeepSpeed, or high-throughput inference with vLLM, SGLang, or TensorRT-LLM.
  • Experience benchmarking H100, H200, or GB200 hardware and InfiniBand or RoCE interconnects.
  • Background at a GPU cloud, neocloud, hyperscaler AI team, or frontier lab infrastructure team.
  • Experience building a solutions or forward-deployed function from scratch.

Culture & Benefits

  • Visa sponsorship and relocation support.
  • Flexible remote work or work from San Francisco.
  • Travel to customer sites as needed.
  • Professional development budget.
  • Team off-sites and conferences.
  • Meaningful equity and the opportunity to build infrastructure for open AI.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →