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7 дней назад

Engineering Manager (AI)

200 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineering Manager (AI): Leading a senior engineering team building AI inference systems and infrastructure with an accent on execution, technical quality, and scalable people management. Focus on managing inference, performance, kernels, accelerators, and cloud infrastructure teams while hiring, coaching, setting technical direction, and unblocking complex systems work.

Location: San Francisco, California, United States; in-office

Salary: $200,000–$400,000 annual salary plus equity

Company

hirify.global develops and scales vLLM as an AI inference engine, working across models, hardware, and inference infrastructure.

What you will do

  • Lead engineering teams working on inference systems, performance, kernels, accelerators, and cloud infrastructure.
  • Own team execution, prioritization, hiring, coaching, performance management, and career development.
  • Translate company priorities into technical direction, team goals, ownership, and execution plans.
  • Build effective operating rhythms for planning, technical reviews, decision-making, cross-team coordination, and accountability.
  • Partner with engineering and company leadership to remove blockers and improve team effectiveness.

Requirements

  • Bachelor’s degree or equivalent experience in computer science, engineering, or a related field.
  • Experience managing strong software engineers in systems, infrastructure, ML systems, distributed systems, or performance-oriented environments.
  • At least 2 years of management experience with 10 or more direct reports.
  • Strong technical credibility and the ability to reason about architecture, challenge assumptions, and support senior engineers.
  • Experience with the full people-management lifecycle, including hiring, onboarding, feedback, performance management, career development, team health, and retention.
  • Ability to work in-office in San Francisco, California.

Nice to have

  • Experience with AI or ML infrastructure, model serving, distributed systems, GPU infrastructure, compilers, performance engineering, cloud infrastructure, or developer platforms.
  • Familiarity with vLLM, SGLang, PyTorch, CUDA, Triton, Kubernetes, distributed serving, or accelerator infrastructure.
  • Experience managing senior, staff, principal, research-adjacent, or PhD engineers.
  • Experience scaling engineering teams through rapid hiring and building management practices in an early-stage company.
  • Open-source contributions to infrastructure, AI systems, developer tools, or technically ambitious products.

Culture & Benefits

  • Work in a senior-heavy engineering organization focused on frontier AI inference.
  • Health, dental, and vision benefits.
  • 401(k) company match.
  • Equity compensation.
  • Visa sponsorship is available on a case-by-case basis.

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