Software Engineer, Anthropic

• Have experience leading large-scale, complex projects or teams as an engineer or tech lead
• Are experienced with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
• Have deep experience with Kubernetes and container orchestration at scale
• Have strong proficiency in at least one programming language (e.g., Python, Rust, Go)
• Have strong problem-solving skills and the ability to work independently
• Have a passion for supporting internal partners like research teams 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 Infrastructure as Code, AWS, and GCP
• 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
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience

Desirable

• 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
• Anthropic is seeking talented and experienced Infrastructure Engineers to join our Systems engineering team and support the development, scaling, and maintenance of our cutting-edge AI systems
• By joining our Systems engineering 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
• The Systems engineering team is responsible for supporting some of the largest, most sophisticated clusters in the industry used to train, research, and ultimately serve AI models
• Your work will be crucial in ensuring Anthropic can continue reliably and safely training frontier models
• You will be responsible for building systems and running large Kubernetes clusters using GPU/TPU/Trainium accelerators
• Pushing the frontier of Kubernetes scheduling for accelerators concentrating on efficient capacity use and customer experience
• Lead the build-out of industry-leading compute clusters (thousands+ of machines), partnering closely with cloud service providers
• Scheduler development and infrastructure hardening
• Build and maintain large-scale Kubernetes clusters optimized for GPU/TPU/Trainium workloads
• Design and implement systems that ensure reliability, scalability, and performance for frontier model training
• Consult with research teams to deeply understand infrastructure and compute needs, identifying solutions to support frontier research
• Set technical strategy and oversee development of high-scale, reliable infrastructure systems