Senior Software Engineer, Infrastructure

Senior Software Engineer, Infrastructure

About Anthropic

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.

About the Role

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 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.

• 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., post‑mortem review, incident response, on‑call rotations) that help the team operate effectively and never fail the same way twice

• Have 6+ years of relevant industry experience, 1+ year 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, as well as supporting networking infrastructure like NCCL
• Low‑level systems experience, for example Linux kernel tuning and eBPF
• Technical expertise:
  Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

None. Applications will be reviewed on a rolling basis.

$300,000—$405,000 USD

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 sponsor visas. If we make you an offer, we will make every reasonable effort to obtain a visa and retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. We urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.

We believe that the highest‑impact AI research will be big science. At Anthropic we work as a single cohesive team on a few large‑scale research efforts, valuing impact over smaller, more specific puzzles. We collaborate closely, host frequent research discussions, and greatly value communication skills.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space to collaborate with colleagues.

Mid‑Senior level

Full‑time

Engineering and Information Technology