Staff + Sr. Software Engineer, Scaling (AI)

Location: San Francisco, California or Seattle, Washington; hybrid policy requires working from an Anthropic office at least 25% of the time

Annual salary: $320,000–$485,000 USD

Company

Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems.

What you will do

• Design, build, and maintain distributed systems serving Claude to millions of users.
• Develop intelligent request routing, load balancing, traffic management, and resilient real-time systems.
• Optimize compute efficiency and fleet costs through autoscaling and workload orchestration across multiple cloud providers.
• Build and operate production-grade deployment pipelines for releasing new models.
• Provide high-performance inference infrastructure for next-generation model research.
• Integrate new AI accelerator platforms and support new model architectures.

Requirements

• Significant software engineering experience, particularly with distributed systems.
• Bachelor’s degree or equivalent education, training, or professional experience in a relevant field.
• Ability to work flexibly, take ownership beyond a defined job description, and focus on impact.
• Interest in machine learning systems and infrastructure and their societal implications.
• Ability to work from the San Francisco or Seattle office at least 25% of the time.

Nice to have

• Experience with high-performance, large-scale distributed systems and machine learning systems at scale.
• Experience with load balancing, request routing, or traffic management.
• Familiarity with LLM inference optimization, batching, and caching strategies.
• Experience with Kubernetes and AWS, GCP, or Azure.
• Proficiency in Python or Rust.

Culture & Benefits

• Collaborative research environment focused on trustworthy and steerable AI.
• Flexible working hours and a collaborative office environment.
• Generous vacation and parental leave.
• Competitive compensation and optional equity donation matching.
• Visa sponsorship is available, subject to role and candidate eligibility.