Job Information
Anthropic PBC Software Engineer, Compute Efficiency in Seattle, Washington
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.
You may be a good fit if you:
- Have 6+ years of relevant industry experience, 1+ year leading large scale, complex projects or teams as a software 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.
Strong candidates may have:
- 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
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000 - $405,000 USD
Logistics
Education requirements: *We require at least a Bachelor's degree in a related field or equivalent experience. *Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa,