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2 дня назад

Member of Technical Staff - Sandbox Platform (AI Infrastructure)

150 000 - 300 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Member of Technical Staff (Rust/Go/Python): Building an open superintelligence infrastructure and sandbox platform for AI workload management with an accent on distributed orchestration and low-level systems performance. Focus on designing high-performance networking, virtualization, and scaling compute resources for frontier AI models.

Location: San Francisco office preferred, remote possible for exceptional candidates. Full visa sponsorship and relocation support provided.

Salary: $150,000 – $300,000 + significant equity incentives

Company

hirify.global is building the open superintelligence stack, aggregating global compute into a single control plane for training and deploying agentic models.

What you will do

  • Design and implement distributed orchestration infrastructure using Go and Rust.
  • Build high-performance networking and coordination components.
  • Develop developer-facing platforms and web interfaces for AI workload management using React and Python.
  • Manage cloud resources and container orchestration via Kubernetes and Ansible.
  • Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU).

Requirements

  • Systems programming experience with Rust and strong Linux systems knowledge (networking, namespacing, tuning).
  • Virtualization experience, including VMs, hypervisors, and low-level resource management.
  • Proficiency in Python backend development (FastAPI, async) and modern frontend (TypeScript, React/Next.js, Tailwind).
  • Experience with infrastructure automation (Ansible, Terraform) and Kubernetes.
  • Cloud platform expertise, preferably GCP.
  • Preference for candidates based in or willing to relocate to San Francisco.

Nice to have

  • Experience with GPU computing and ML infrastructure.
  • Knowledge of AI/ML model architecture and training.
  • Contributions to open-source infrastructure.
  • WebSocket and real-time systems experience.

Culture & Benefits

  • Competitive cash compensation and significant equity incentives.
  • Full visa sponsorship and relocation support.
  • Flexible work arrangements.
  • Professional development budget for courses and conferences.
  • Regular team off-sites and conference attendance.

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