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Senior Software Engineer, Infrastructure Solutions

2 months ago

San Francisco, California, United States Anthropic Limited Full time

Position Overview:

Anthropic Limited is in search of skilled and seasoned Infrastructure Engineers to enhance our capabilities in developing, scaling, and maintaining innovative AI systems. By becoming part of our Infrastructure division, you will engage with pioneering AI technologies and play a vital role in advancing frontier models, aligning with Anthropic's vision to foster safe and dependable AI systems that serve humanity's interests.

Current Opportunities:
  • Data Infrastructure: The Data Infrastructure group is tasked with architecting, constructing, and sustaining the data frameworks that drive our AI research and offerings. You will collaborate with diverse teams to ascertain data needs, deliver robust and dependable data solutions, and perpetually refine our data infrastructure. Your responsibilities will include developing and enhancing data pipelines, applying data governance best practices, monitoring system performance, troubleshooting issues, and formulating technical strategies for high-scale, reliable data infrastructure and pipelines. Familiarity with technologies such as Spark, Airflow, dbt, and cloud services from GCP and AWS will be essential, along with designing processes to ensure effective team operations and ongoing improvement.

  • Research Infrastructure: The research infrastructure team focuses on creating and scaling systems that empower researchers to iterate swiftly while ensuring that critical systems/components utilized by researchers can operate at production scale as our model footprint expands.

  • Site Reliability Engineering: As a Site Reliability Engineer at Anthropic, you will devise and implement scalable solutions, partner with development teams to enhance infrastructure reliability, and establish monitoring systems, Service Level Objectives (SLOs), and Service Level Indicators (SLIs). You will apply fault-tolerant design patterns, construct automation tools, and participate in an on-call rotation. By utilizing Infrastructure as Code (IaC) principles, you will work with cross-functional teams to guarantee reliability and scalability in new features and services, while also accelerating engineering reliability through superior tooling.

  • Systems: The systems team is responsible for managing some of the largest and most sophisticated clusters in the industry, which are utilized for training, researching, and ultimately serving AI models. Your contributions will be critical in ensuring Anthropic's ability to reliably and safely train frontier models. You will oversee the construction of systems and the operation of extensive Kubernetes clusters with GPU/TPU/Tranium workloads.
  • Observability: The observability team is dedicated to designing, building, and maintaining the observability infrastructure that guarantees the reliability, performance, and efficiency of our AI systems and services. You will work with various teams to comprehend their observability requirements and deliver solutions using technologies such as Prometheus, Splunk, Cloud Logging, Grafana, and Honeycomb. Your role will involve developing a configuration-driven approach to manage dashboards and alerts, implementing structured logging and tracing, optimizing the observability stack, and creating a reliable system that requires minimal maintenance. You will promote a culture of operational excellence, proactive monitoring, and continuous improvement by providing managed, centralized, and user-friendly observability tools.

Key Responsibilities:
  • Lead the development of industry-leading AI clusters (ranging from thousands to hundreds of thousands of machines), collaborating closely with cloud service providers on cluster development and necessary features.
  • Engage with various stakeholders to thoroughly understand infrastructure, data, and computational needs, identifying potential solutions to support advanced research and product development.
  • Establish technical strategies and oversee the creation of high-scale, reliable infrastructure systems.
  • Mentor and guide top technical talent.
  • Design processes (e.g., postmortem reviews, incident response, on-call rotations) that facilitate effective team operations and prevent recurring failures.
You Might Be a Great Fit If You:
  • Possess 8+ years of relevant industry experience, with at least 3 years leading large-scale, complex projects or teams as an engineer or technical lead.
  • Exhibit a strong passion for distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement.
  • Demonstrate strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java).
  • Showcase excellent problem-solving skills and the ability to work independently.
  • Have a keen interest in supporting internal partners, such as research teams, to understand their needs.
  • Possess outstanding communication skills to build consensus with stakeholders, both internally and externally.
  • Have extensive knowledge of modern cloud infrastructure, including Kubernetes, Infrastructure as Code, AWS, and GCP.
Preferred Qualifications:
  • Expertise in security and privacy best practices.
  • Experience with machine learning infrastructure, including GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL.
  • Familiarity with low-level systems, such as Linux kernel tuning and eBPF.
  • Technical acumen in quickly understanding systems design trade-offs and keeping pace with rapidly evolving software systems.

Application Deadline: None. Applications will be reviewed on a rolling basis.