Engineering Manager, Scheduler and Fleet Efficiency

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

Anthropics compute fleet is one of the largest and most varied in the world and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropics Kubernetes fleet the tools researchers and engineers use to launch and manage their jobs and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run the scheduler decides where it lands and how quickly; when demand outstrips supply it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath.

Were looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropics compute and the mandate is expanding quickly: making scheduling work seamlessly across a growing heterogeneous fleet; raising utilization while keeping jobs starting fast; making the systems decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. Youll lead a team building infrastructure that the entire research and product organization depends on and youll partner closely with capacity planning research inference and product teams to make efficient use of the fleet.

• Lead and grow a team of engineers building Anthropics scheduling platform job-launch tooling and fleet-efficiency systems owning planning execution and delivery against key milestones
• Set technical direction for scheduling placement queueing and quota across Anthropics compute fleet
• Partner with capacity planning research inference and product teams to bring workloads onto the paved path and make efficient scheduling decisions
• Drive the roadmap for scheduler capabilities fleet utilization and the developer experience of launching and managing jobs
• Define and track the metrics that measure fleet efficiency and scheduling quality (utilization queue wait job-start latency etc.) and hold the team accountable to them
• Create clarity for the team and stakeholders in an ambiguous fast-moving environment where demand for compute routinely exceeds supply
• Take an inclusive equitable approach to hiring coaching and career development and sustain a high-performing healthy team
• Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropics engineering management group

• Experience managing and growing a team of software engineers
• A hands-on software engineering background as an individual contributor prior to moving into management
• Experience building or operating large-scale distributed or infrastructure systems in production
• Working knowledge of Kubernetes and cluster scheduling concepts such as resource requests and limits affinity priority and preemption and custom schedulers or controllers
• Excellent written and verbal communication skills including the ability to create clarity across teams

• 5 years of engineering management experience including leading infrastructure platform or compute teams
• Experience owning a cluster scheduler job orchestration system or resource manager at scale
• Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization fairness and latency
• Experience building developer tooling that other engineers rely on every day
• A background in observability or incident response for control-plane systems and a track record of improving production reliability
• A track record of building a culture of belonging and of engineering excellence
• Low ego high empathy and a habit of leading by example

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policy for using AI in our application process.