14 days ago
Base Salary
$320k - $485k/yr
Responsibilities
- Own, operate, and extend the Kubernetes scheduler for accelerator fleets, including custom plugins and policies for gang scheduling, topology awareness, and preemption.
- Scale the Kubernetes control plane, including apiserver, etcd, and controller-manager, beyond typical cluster limits.
- Design, build, and operate core cluster services such as service discovery.
- Build and maintain custom controllers, operators, and CRDs.
- Partner with research, training, and inference teams to turn workload requirements into platform capabilities.
- Collaborate with cloud providers on required features and escalations.
- Participate in on-call, lead incident response, and improve postmortems, runbooks, and SLOs.
Requirements
- Significant experience building and operating production distributed systems.
- Proficiency in at least one systems-appropriate language such as Go, Python, Rust, or C++.
- Deep hands-on Kubernetes experience involving scheduler, controllers, apiserver, or large multi-tenant clusters.
- Ability to debug complex issues across API, node, and network layers.
- Track record of designing reliable, correct systems with clear failure semantics.
- Strong written and verbal communication and ability to build consensus.
- Preferred experience with Kubernetes internals or contributions, including kube-scheduler, the scheduling framework, apiserver, etcd, client-go, or controller-runtime.
- Preferred experience with cluster schedulers or batch systems such as Kueue, Volcano, Slurm, or equivalent systems.
- Preferred experience scaling control planes or coordination systems such as etcd, ZooKeeper, or Consul, and large DNS or service-mesh deployments.
- Familiarity with ML infrastructure such as GPUs, TPUs, Trainium, gang scheduling, topology-aware placement, and NCCL.
- Experience with GCP or AWS, including GKE or EKS internals and Infrastructure as Code.
- Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF.
- 10+ years of relevant industry experience, including leading large, ambiguous infrastructure projects.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience in a relevant field.
Benefits
- Hybrid policy requiring staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship is available, with immigration-lawyer support, subject to role and candidate eligibility.
- Competitive benefits include optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Tech Stack
Categories
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.