🛠 Tech Stack

💼 About This Role

You'll join the team owning Kubernetes control planes for some of the largest clusters in the industry, supporting frontier AI training. Your work on the scheduler, apiserver, and etcd will directly determine whether Anthropic can reliably scale its compute footprint. You'll partner with research and inference teams to turn workload requirements into platform capabilities, all while operating at a scale where defaults stop working.

🎯 What You'll Do

• Own, operate, and extend the Kubernetes scheduler for accelerator fleets
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) beyond typical limits
• Design, build, and operate core cluster services like service discovery
• Build and maintain custom controllers, operators, and CRDs

📋 Requirements

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems language (Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (beyond user level) with scheduler, controllers, apiserver, or large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API to node/network level

✨ Nice to Have

• Experience with Kubernetes internals or contributions (kube-scheduler, apiserver, etcd, client-go)
• Experience building or operating cluster schedulers or batch systems (Kueue, Volcano, Slurm)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul)

🎁 Benefits & Perks

• 🏖️ Visa sponsorship (reasonable efforts and legal support)
• 💰 Annual salary $320,000–$405,000 USD
• 🏢 Hybrid policy (at least 25% in office)
• 🌍 Mission-driven work on frontier AI safety

📨 Hiring Process

Estimated timeline: 3-5 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design Interview· 60 min
4. 4Hiring Manager Interview· 45 min