Staff + Sr. Software Engineer, Cloud Inference (AI)

Location: San Francisco, CA or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time, with some roles requiring more office attendance.

Annual salary: $320,000–$485,000 USD

Company

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

What you will do

• Design, build, and own backend services and infrastructure serving Claude across AWS, GCP, Azure, and future cloud service providers.
• Work with inference, product API, systems, and security teams and cloud partners to launch serving stacks, resolve operational issues, and influence provider roadmaps.
• Build CI/CD validation and deployment pipelines that release model versions to millions of users without regressions.
• Develop cross-provider interfaces and tooling that reduce platform complexity and improve cost-effective inference management.
• Contribute to capacity planning, autoscaling, workload routing, and accelerator and region selection.
• Analyze observability data to identify performance bottlenecks, cost anomalies, and production regressions.

Requirements

• Significant software engineering experience with high-performance, large-scale distributed systems serving millions of users.
• Experience building or operating services on AWS, GCP, or Azure, with exposure to Kubernetes, infrastructure as code, or container orchestration.
• Experience collaborating with internal teams and external partners to deliver impact.
• Ability to learn new technologies, hardware platforms, and cloud provider ecosystems quickly.
• Autonomous ownership of problems from design through operations.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.

Nice to have

• Experience scaling infrastructure or products across multiple cloud platforms.
• Experience with capacity management, cost optimization, or resource planning across heterogeneous environments.
• Understanding of multi-region deployments, geographic routing, and global traffic management.
• Proficiency in Python or Rust.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business disciplines.
• Flexible working hours, generous vacation and parental leave, and competitive benefits.
• Optional equity donation matching.
• Visa sponsorship may be available, with immigration lawyer support, depending on the role and candidate.
• Office-based collaboration with frequent research discussions and emphasis on communication.