Software Engineer, Infrastructure

Staff+ Software Engineer, Infrastructure

Anthropic is seeking talented and experienced Infrastructure Engineers to join our team and support the development, scaling, and maintenance of our cutting‑edge AI systems. By joining our Infrastructure team, you will have the opportunity to work on groundbreaking AI technologies and contribute to the development of frontier models, supporting Anthropic’s mission to create safe and reliable AI systems that benefit humanity.

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

• Lead build out of industry‑leading AI clusters (thousands to hundreds of thousands of machines), partnering closely with cloud service providers on cluster build out and required features.
• Consult with different stakeholders to deeply understand infrastructure, data and compute needs, identifying potential solutions to support frontier research and product development.
• Set technical strategy and oversee development of high‑scale, reliable infrastructure systems.
• Mentor top technical talent.
• Design processes (e.g., postmortem review, incident response, on‑call rotations) that help the team operate effectively and never fail the same way twice.

• Have 10+ years of relevant industry experience, 3+ years leading large‑scale, complex projects or teams as an engineer or tech lead.
• Are obsessed with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement.
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java).
• Strong problem‑solving skills and ability to work independently.
• Have a passion for supporting internal partners like research to understand their needs.
• Have excellent communication skills to build consensus with stakeholders, both internally and externally.
• Possess deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP.

• Security and privacy best practice expertise.
• Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, and supporting networking infrastructure like NCCL.
• Low‑level systems experience, e.g., Linux kernel tuning and eBPF.
• Technical expertise:
  Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems.

Annual salary: $405,000—$485,000 USD.

Education requirements:

Bachelor’s degree in a related field or equivalent experience. Location-based hybrid policy: staff are expected to be in an office at least 25% of the time, though some roles may require more presence. Visa sponsorship: we do sponsor visas and will make reasonable efforts to secure a visa if an offer is made.

Final date to receive applications:
None. Applications will be reviewed on a rolling basis. We encourage you to apply even if you do not meet every single qualification listed. Not all strong candidates will meet every requirement; representation and diversity are especially important to us.