Staff+ Software Engineer, Observability (AI)

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices 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 and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across multi-cluster infrastructure.
• Build low-overhead observability solutions, instrumentation libraries, SDKs, and eBPF-based auto-instrumentation.
• Own and evolve observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth.
• Build cross-signal correlation, unified query interfaces, and AI-assisted diagnostic tooling to reduce detection and resolution times.
• Use continuous profiling and utilization telemetry to improve CPU, memory, and accelerator fleet efficiency.
• Partner with Research, Inference, Product, and Infrastructure teams on operational visibility and incident response.

Requirements

• Experience building and operating large-scale observability or monitoring infrastructure.
• Hands-on experience across observability signals, from instrumentation and ingest through querying and analysis.
• Understanding of high-throughput telemetry pipelines and operational data storage and query tradeoffs at scale.
• Ability to debug below the application layer, including the kernel, network stack, or hardware.
• Strong communication skills and the ability to work independently on ambiguous, high-impact technical challenges.
• Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

• Production experience with eBPF-based tracing, profiling, or network visibility.
• Experience with fleet-scale continuous profiling, kernel and syscall debugging, or accelerator workloads.
• Experience with high-cardinality metrics, large-scale telemetry storage, ClickHouse, BigQuery, or log storage migrations.
• Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling.
• Interest in applying AI or LLMs to root cause analysis, anomaly detection, or intelligent alerting.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business functions.
• Flexible working hours and office-based collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, with immigration lawyer support, subject to role and candidate eligibility.
• Focus on building safe and beneficial AI systems through large-scale research and infrastructure efforts.