Staff Software Engineer Core Infrastructure

About Anthropic

Anthropics 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

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 cuttingedge AI systems. Youll work with some of the most advanced hardware available including TPUs GPUs and Tranium 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 Anthropics 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 endtoend 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 largescale 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 largescale infrastructure projects
• Strong handson 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 Tranium)
• Background with largescale cluster management systems like Tupperware or Borg
• Expertise in networking particularly in highperformance computing environments
• Experience with scheduling systems and resource optimization
• Knowledge of multicloud architectures and crossprovider 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 realworld impact
• Have a passion for building reliable scalable infrastructure
• Get excited about working with cuttingedge AI hardware
• Thrive in a fastpaced 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

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Locationbased 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 arent 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.

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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

How were different

We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT3 CircuitBased Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

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 in which to collaborate with colleagues.