About the company
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.
Responsibilities
- Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide.
- Develop resilient, flexible systems that adapt in real time to real world events.
- Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers.
- Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers.
- Build and operate production-grade deployment pipelines for releasing new models to users.
- Provide high-performance inference infrastructure that enables researchers to develop next-generation models.
- Integrate new AI accelerator platforms and support inference for new model architectures.
Requirements
- Significant software engineering experience, particularly with distributed systems.
- Results-oriented, with a bias towards flexibility and impact.
- Willingness to pick up slack, even if it goes outside your job description.
- Desire to learn more about machine learning systems and infrastructure.
- Thrive in environments where technical excellence directly drives both business results and research breakthroughs.
- Care about the societal impacts of your work.
- Preferred: Experience with high-performance, large-scale distributed systems.
- Preferred: Experience implementing and deploying machine learning systems at scale.
- Preferred: Experience with load balancing, request routing, or traffic management systems.
- Preferred: Familiarity with LLM inference optimization, batching, and caching strategies.
- Preferred: Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure).
- Preferred: Proficiency in Python or Rust.
Conditions
- Annual Salary: $320,000 — $485,000 USD.
- 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, and we retain an immigration lawyer to help with this.