Staff+ Software Engineer, Storage + Transfer

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.

Storage plays an essential role at Anthropic across research development product and running the business. Our exabyte-scale multi-cloud storage infrastructure underpins training CI sandboxing inference warehousing and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up were looking for engineers who have designed secured operated scaled governed and optimized blob storage platforms at hyper-scale.

Youll join a welcoming collaborative high-trust high-velocity team that is devoted to our users and Anthropics mission. Youll bring deep experience essential technical guidance user-centric product sense and hands-on significant contributions to help us evolve Anthropics storage capabilities while absorbing increasing volume and complexity. Youll own high-stakes architectural decisions and deliverables to make stored data securely and speedily accessible across varying infrastructures and regions. Youll collaborate closely with other orgs to drive world-class security usability reliability and capacity/cost efficiency: both for the data we store and the ways we make it accessible to power a wide range of workflows.

Youll partner with research training infrastructure business and data teams to understand our storage needs and opportunities today and in the future. Youll drive strategic investments that uplevel Anthropics ability to ship safe useful AI at speed.

• Shape the technical strategy and architecture for Anthropics storage layers

• Build strong relationships with our users and partner teams and deep understanding of their access patterns and unique security usability and business requirements: everything from large-scale ML and training workloads to financial data processing with strong controls

• Partner closely with CSPs networking and datacenter teams on infrastructure primitives

• Translate user needs into scalable achievable system designs and drive alignment

• Make principled tradeoffs across durability availability consistency performance security and cost and document the reasoning so other engineers and teams can build on it

• Break large problems into deliverable milestones and lead cross-functional teams to ship new capabilities safely at unprecedented speed

• Work across backend stacks abstraction layers and clients to provide users with simple consistent interfaces no matter where data lives

• Plan and lead large migrations of critical workloads with user minimal disruption

• Participate in and improve operations including SLOs observability capacity planning incident response and on-call

• Stay hands-on in code and production including in the most critical and complex areas

• Experience designing building and operating a large-scale distributed storage system in production such as an object store distributed file system or block storage service.

• Deep understanding of storage system fundamentals including: Replication and erasure coding consistency models metadata management durability failure handling high availability access controls identity models security approaches abstraction layers network requirements multi-region considerations

• Experience serving as an owner tech lead or architect for a large complex infrastructure system that orgs and customers depend on

• Strong software engineering fundamentals and hands-on coding ability in at least one systems language such as C Rust Go or Java

• Experience operating and steering critical infrastructure at scale including security on-call incident response capacity planning customer support and cost efficiency

• Strong written and verbal communication skills with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders

Minimum education: Bachelors degree or an equivalent combination of education training and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework training or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

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 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.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.