Anthropic
Staff+ Software Engineer, Infrastructure
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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 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 Infrastructure organization powers the mission to develop AI systems that are safe, beneficial, and understandable. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. We are building at the frontier of what's possible, solving novel scaling challenges with a high degree of security, to ensure transformative AI benefits humanity.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the infrastructure teams where they'll have the greatest impact and growth potential.
Responsibilities
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
You May Be a Good Fit If You
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
Have strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
Show strong problem‑solving skills and ability to work independently
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
Strong Candidates May Have
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
Compensation and Benefits The expected base compensation for this position is $405,000–$485,000 USD. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
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. If we make you an offer, we will make every reasonable effort to get you a visa.
We Encourage You to Apply We encourage you to apply even if you do not believe you meet every single qualification. We think AI systems have enormous social and ethical implications, and we strive to include a range of diverse perspectives on our team.
How We're Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. We value impact—advancing our long‑term goals of steerable, trustworthy AI—rather than work on smaller, more specific puzzles. We view AI research as an empirical science, intersecting physics, biology, and computer science, and we host frequent research discussions to pursue the highest‑impact work. We greatly value communication skills.
Come work with us! 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. Guidance on candidates’ AI usage: Learn about our policy for using AI in our application process.
#J-18808-Ljbffr
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 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 Infrastructure organization powers the mission to develop AI systems that are safe, beneficial, and understandable. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. We are building at the frontier of what's possible, solving novel scaling challenges with a high degree of security, to ensure transformative AI benefits humanity.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the infrastructure teams where they'll have the greatest impact and growth potential.
Responsibilities
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
You May Be a Good Fit If You
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
Have strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
Show strong problem‑solving skills and ability to work independently
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
Strong Candidates May Have
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
Compensation and Benefits The expected base compensation for this position is $405,000–$485,000 USD. Our total compensation package for full‑time employees includes equity, benefits, and may include incentive compensation.
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. If we make you an offer, we will make every reasonable effort to get you a visa.
We Encourage You to Apply We encourage you to apply even if you do not believe you meet every single qualification. We think AI systems have enormous social and ethical implications, and we strive to include a range of diverse perspectives on our team.
How We're Different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large‑scale research efforts. We value impact—advancing our long‑term goals of steerable, trustworthy AI—rather than work on smaller, more specific puzzles. We view AI research as an empirical science, intersecting physics, biology, and computer science, and we host frequent research discussions to pursue the highest‑impact work. We greatly value communication skills.
Come work with us! 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. Guidance on candidates’ AI usage: Learn about our policy for using AI in our application process.
#J-18808-Ljbffr