Staff Software Engineer (AI Infrastructure)

Location: Hybrid (Must be based in San Francisco, New York City, or Seattle)

Salary: $320,000 - $405,000 USD

Company

Anthropic is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems.

What you will do

• Own the technical strategy and roadmap for node lifecycle management, including ingestion, bring-up, and automated repair.
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families (GPUs, TPUs, Trainium).
• Design and operate automated systems to detect and remediate unhealthy hardware, maximizing fleet usability.
• Define infrastructure architecture and solve critical technical challenges directly or through team leadership.
• Collaborate with cloud providers and internal research/product teams to shape long-term compute and data strategy.
• Establish operational excellence practices and provide technical mentorship to growth engineers.

Requirements

• Deep expertise in distributed systems, reliability, and cloud platforms (Kubernetes, AWS, GCP, Azure).
• Strong proficiency in Rust, Go, or Python, and experience with Terraform.
• Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium).
• Proven track record of leading complex, multi-quarter technical initiatives spanning multiple teams.
• Must be based in San Francisco, New York City, or Seattle (hybrid policy: minimum 25% office presence).
• Bachelor's degree or equivalent professional experience in a relevant field.

Nice to have

• 8+ years of software engineering experience, including technical leadership.
• Experience managing hyperscale compute infrastructure (10K+ nodes).
• Depth in Kubernetes internals (scheduler, autoscaler, Karpenter) or similar cluster orchestration systems.
• Low-level systems experience with kernels, virtualization, device drivers, or firmware.
• Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for ML workloads.

Culture & Benefits

• Collaborative "big science" approach to AI research focusing on long-term safety and steerability.
• Competitive compensation with optional equity donation matching.
• Generous vacation, parental leave, and flexible working hours.
• Visa sponsorship available for eligible candidates.
• Modern office spaces in major US hubs to facilitate collaboration.