Назад
2 месяца назад

Engineering Manager, Scheduler and Fleet Efficiency

405 000 - 485 000$
Формат работы
hybrid
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, Scheduler and Fleet Efficiency (Kubernetes/AI): Building and leading infrastructure for Kubernetes scheduling, job launch tooling, and compute-fleet efficiency with an accent on heterogeneous workloads, utilization, queueing, and predictable placement decisions. Focus on setting technical direction for large-scale distributed systems, improving scheduling latency and reliability, and developing a high-performing engineering team.

Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to work from an office at least 25% of the time.

Annual salary: $405,000–$485,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

  • Lead and grow the engineering team responsible for the scheduling platform, job-launch tooling, and fleet-efficiency systems.
  • Set technical direction for scheduling, placement, queueing, and quota management across a large Kubernetes compute fleet.
  • Partner with capacity planning, research, inference, and product teams to improve workload placement and compute utilization.
  • Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs.
  • Define metrics for utilization, queue wait time, job-start latency, and scheduling quality.
  • Hire, coach, and develop an inclusive, high-performing engineering team while contributing to engineering-wide initiatives.

Requirements

  • Experience managing and growing a team of software engineers.
  • Hands-on software engineering experience as an individual contributor before moving into management.
  • Experience building or operating large-scale distributed or infrastructure systems in production.
  • Working knowledge of Kubernetes and cluster scheduling concepts, including resource requests and limits, affinity, priority, preemption, and custom schedulers or controllers.
  • Excellent written and verbal communication skills.
  • Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

  • 5+ years of engineering management experience leading infrastructure, platform, or compute teams.
  • Experience owning a cluster scheduler, job orchestration system, or resource manager at scale.
  • Experience scheduling machine-learning workloads on accelerators and balancing utilization, fairness, and latency.
  • Experience building developer tooling, observability, or incident-response practices for control-plane systems.
  • Experience building a culture of belonging and engineering excellence.

Culture & Benefits

  • Visa sponsorship is available, with immigration-lawyer support, although sponsorship cannot be guaranteed for every role or candidate.
  • Flexible working hours and a collaborative office environment.
  • Competitive compensation, optional equity-donation matching, generous vacation, and parental leave.
  • Highly collaborative work across research, engineering, policy, and business functions.

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