Compute Efficiency Engineer

📋 Description

• Build telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across cloud and datacenter fleets.
• Design and implement cost attribution frameworks for multi-tenant infrastructure, enabling teams to understand and optimize resource consumption.
• Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.
• Partner closely with cloud service providers and internal stakeholders to optimize cluster configurations, workload placement, and resource utilization across AI training and inference workloads—including large-scale clusters spanning thousands to hundreds of thousands of machines.
• Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic.
• Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.

🎯 Requirements

• Bachelor's degree or equivalent experience
• 6+ years in relevant industry experience
• 1+ year leading large-scale projects or teams
• Distributed systems expert focused on reliability and scalability
• Proficient in Python, Rust, Go, or Java
• Cloud infra: Kubernetes, Infrastructure as Code, AWS or GCP
• Experience optimizing end-to-end performance and resource use

🎁 Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Office space in San Francisco and New York City
• Visa sponsorship available where possible