Staff Software Engineer, Product Infrastructure

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

We're looking for experienced infrastructure engineers to build and scale the foundation that powers Claude and enables millions of users to interact with AI. As a Staff Software Engineer on the Product Infrastructure team, you'll architect and build the reliable infrastructure primitives that power our API, Claude.ai, Claude Mobile, Claude Code, and future AI products.

This is a unique opportunity to tackle infrastructure challenges at the intersection of cutting-edge AI and massive scale. You'll architect systems that handle billions of API requests, build compute infrastructure that bridges research and production environments, and create storage solutions that work seamlessly across GCP, AWS, and diverse deployment models including first-party and third-party environments.

Responsibilities:

• Design and implement infrastructure solutions that scale to support millions of users interacting with Claude across multiple products
• Build and scale OLTP database systems through 100x+ growth while maintaining reliability and performance
• Architect storage solutions that work seamlessly across GCP, AWS, first-party deployments, third-party deployments, and other environments
• Develop Kubernetes-based compute infrastructure and service mesh solutions for our growing product ecosystem
• Extend research infrastructure capabilities for production use, enabling rapid deployment of new AI capabilities
• Partner with product teams to understand requirements and build infrastructure that accelerates feature delivery
• Collaborate with research infrastructure teams to create synergies and shared solutions
• Make critical build vs. buy decisions for infrastructure components
• Set technical direction for product infrastructure

You might be a good fit if you:

• Have 8+ years of experience building and scaling infrastructure systems
• Possess deep expertise in at least one of: OLTP database scaling, Kubernetes/container orchestration, or distributed networking
• Have successfully scaled infrastructure through massive growth at high-growth companies
• Can balance the speed of a startup environment with the reliability needs of production systems
• Excel at technical leadership and cross-functional collaboration
• Are passionate about building the infrastructure layer that enables next-gen AI products

Strong candidates may also have:

• Deep expertise scaling PostgreSQL, MySQL, DynamoDB, or similar database systems
• Experience with Redis, Temporal, RAG databases, or async job processing frameworks
• Experience building multi-cloud or hybrid cloud infrastructure solutions
• Expertise in Kubernetes, service mesh technologies, and container orchestration at scale

Note: Prior AI/ML infrastructure experience is not required. We value deep infrastructure expertise from any domain.

The expected salary range for this position is:

Annual Salary:$405,000—$485,000 USD

Logistics

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

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.

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 you're interested in this work. We think AI systems like the ones we're 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 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. And we value impact — advancing our long-term 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. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact 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: GPT-3, Circuit-Based 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process