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9 часов назад

Fullstack Software Engineer (AI)

230 000 - 347 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
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

Fullstack Software Engineer (AI/Infrastructure): Building and scaling web-based tools for the world's largest supercomputers to monitor cluster health and optimize training reliability with an accent on distributed systems and real-time data visualization. Focus on designing scalable backend services and intuitive frontend workflows to solve complex operational problems in AI compute foundations.

Location: San Francisco, USA (Onsite)

Salary: $230,000 – $347,000 USD + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Build full-stack web applications for monitoring cluster health, job failures, and usable capacity in real time.
  • Develop scalable backend services to process high-volume cluster and workload data with low latency and high reliability.
  • Design APIs and visualizations to simplify the inspection of large-scale scheduling, resource allocation, and cluster behavior.
  • Collaborate with researchers and infrastructure teams to identify and solve high-leverage operational problems.
  • Create intuitive frontend workflows that connect users to underlying compute, storage, and scheduling systems.
  • Improve the reliability, performance, and security of systems used to operate frontier compute.

Requirements

  • Significant experience in full-stack development.
  • Proficiency in modern frontend frameworks such as React, Vue, or Angular.
  • Expertise in backend technologies such as Python, Go, or Node.js.
  • Experience building high-performance web applications for complex distributed systems.
  • Strong understanding of APIs, distributed data systems, and cloud infrastructure.
  • Must be based in or able to work from San Francisco.

Nice to have

  • Experience with Kubernetes, Docker, and cloud-native application deployment.
  • Understanding of AI/ML workload scheduling and orchestration challenges.
  • Experience with real-time data processing, visualization libraries, and observability tooling.

Culture & Benefits

  • Opportunity to work at the cutting edge of AI infrastructure on some of the world's largest supercomputers.
  • Fast-paced, highly collaborative environment with tight timelines and evolving priorities.
  • Competitive compensation package including equity.
  • Inclusive work environment with a commitment to diversity and equal opportunity.

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