Anthropic · 2 days ago
[P] Compute Efficiency Engineer
San Francisco, CA
Full-time
Hybrid
Mid, Senior Level
$320K/yr - $405K/yr
6+ years expAnthropic is a public benefit corporation focused on creating reliable and interpretable AI systems. They are seeking an Infrastructure Optimization & Efficiency Engineer to enhance the performance, cost-effectiveness, and sustainability of their complex AI infrastructure while ensuring reliability and latency are maintained.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets
Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimize their 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
Drive architectural improvements and code-level optimizations across multiple services and platforms to deliver measurable utilization and performance gains
Qualification
Required
6+ years of relevant industry experience, 1+ year leading large scale, complex projects or teams as an engineer or tech lead
Deep expertise in distributed systems at scale, with a strong focus on infrastructure reliability, scalability, and continuous improvement
Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
Hands-on experience with cloud infrastructure, including Kubernetes, Infrastructure as Code, and major cloud providers such as AWS or GCP
Experience optimizing end-to-end performance of distributed systems, including workload right-sizing and resource utilization tuning
You possess a deep curiosity for how things work under the hood and have a proven ability to work independently to solve opaque performance issues
Experience designing or working with performance and utilization monitoring tools in large-scale, distributed environments
Strong problem-solving skills with the ability to work independently and navigate ambiguity
Excellent communication and collaboration skills—you will work closely with internal and external stakeholders to build consensus and drive projects forward
We require at least a Bachelor's degree in a related field or equivalent experience
Preferred
Experience with machine learning infrastructure workloads as well as associated networking technologies like NCCL
Low level systems experience, for example linux kernel tuning and eBPF
Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems
Published work in performance optimization and scaling distributed systems
Benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Fidelity,ICONIQ Capital,Lightspeed Venture PartnersLightspeed Venture PartnersGoogle
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
Co-Founder and CEO
Daniela Amodei
President and co-founder
Recent News
2026-02-06
2026-02-06
2026-02-06
Company data provided by crunchbase