7 часов назад
Engineering Manager, Scheduler and Fleet Efficiency (AI)
405 000 - 485 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, Scheduler and Fleet Efficiency (AI): Building scheduling, job-launch, and fleet-efficiency systems for a large Kubernetes compute fleet with an accent on heterogeneous infrastructure, utilization, queueing, and predictable resource allocation. Focus on leading infrastructure engineering, improving scheduling quality and production reliability, and coordinating compute capacity across research, inference, and product teams.
Location: San Francisco, CA or New York City, NY; staff are expected to work from one of the offices at least 25% of the time
Annual salary: $405,000–$485,000 USD
Company
Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial.
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 the Kubernetes compute fleet.
- Partner with capacity planning, research, inference, and product teams to improve workload onboarding and resource utilization.
- Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs.
- Define and track metrics such as utilization, queue wait time, and job-start latency.
- Hire, coach, and support career development while representing the team across the engineering organization.
Requirements
- Experience managing and growing a team of software engineers.
- Prior hands-on software engineering experience as an individual contributor.
- 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 professional 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 with developer tooling, observability, incident response, or production reliability for control-plane systems.
- Experience building inclusive, high-performing engineering teams.
Culture & Benefits
- Collaborative work across research, engineering, policy, and business teams.
- Flexible working hours and an office environment designed for collaboration.
- Generous vacation and parental leave.
- Competitive compensation and benefits with optional equity donation matching.
- Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.
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