About the role
As a seasoned engineer on the Core Infrastructure team at Anthropic, you will be at the forefront of managing and optimizing the compute resources that power our cutting-edge AI systems. You’ll work with some of the most advanced hardware available, including TPUs, GPUs, and Trainium chips, across multiple cloud providers to ensure our AI models run efficiently and reliably.
The Core Infrastructure team is responsible for managing all compute resources and infrastructure that power Anthropic’s AI systems. We manage hardware across AWS and GCP, ensuring optimal utilization, reliability, and performance at massive scale.
Key Responsibilities
Lead technical strategy and implementation for critical infrastructure components
Partner with users across the organization to identify pain points and develop end-to-end solutions
Collaborate closely with engineering leadership on roadmap planning and strategic direction
Drive cloud provider customizations and optimizations for our unique hardware and workload requirements
Develop deep expertise in specific domains while maintaining broad knowledge across all infrastructure areas
Mentor team members and promote technical excellence across the organization
Design and implement systems for managing large-scale distributed compute resources
Lead initiatives to improve reliability, efficiency, and performance of our infrastructure
You may be a good fit if you:
Deep expertise in Kubernetes management (not just usage but actual administration and customization)
Proven track record of managing large-scale infrastructure projects
Strong hands-on coding skills with ability to work across the stack
Experience with distributed systems architecture and design
10+ years of software engineering experience with 4+ years in infrastructure/platform roles
Strong candidates may have:
Experience with custom silicon or specialized AI hardware (TPUs, GPUs, Trainium)
Background with large-scale cluster management systems like Tupperware or Borg
Expertise in networking, particularly in high-performance computing environments
Experience with scheduling systems and resource optimization
Knowledge of multi-cloud architectures and cross-provider optimization
Technical Skills
Expert proficiency in at least one systems programming language (Go, Rust, C++)
Deep understanding of container orchestration and cluster management
Experience with Infrastructure as Code (Terraform, CloudFormation, etc.)
Strong debugging and performance optimization skills
Knowledge of modern observability practices
You Might Thrive In This Role If You
Enjoy solving complex technical challenges with real-world impact
Have a passion for building reliable, scalable infrastructure
Get excited about working with cutting-edge AI hardware
Thrive in a fast-paced environment where you can have significant influence
Are comfortable with ambiguity and taking initiative to drive projects forward
Love diving deep into technical problems while keeping the big picture in mind
