Senior Software Engineer, Systems

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. 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 Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. The Systems engineering team owns compute uptime and resilience at massive scale, building the clusters, automation, and observability that make frontier AI research possible and safely deployable to customers.  Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams.  Responsibilities Lead infrastructure projects from design through delivery, owning scope, execution, and outcomes Build and maintain systems that support AI clusters at massive scale (thousands to hundreds of thousands of machines) Partner with cloud providers and internal teams to solve compute, networking, and reliability challenges Tackle difficult technical problems in your domain and proactively fill gaps in tooling, documentation, and processes Contribute to operational practices including incident response, postmortems, and on-call rotations You may be a good fit if you: Have 6+ years of software engineering experience Have led technical projects end-to-end over multiple months, including scoping, breaking down work, and driving delivery Have deep knowledge of distributed systems, reliability, and cloud platforms (Kubernetes, IaC, AWS/GCP) Are strong in at least one systems language (Python, Rust, Go, Java) Solve hard problems independently and know when to pull others in Help teammates grow through knowledge sharing and thoughtful technical guidance Communicate clearly in design docs, presentations, and cross-functional discussions Strong candidates may have: Security and privacy best practice expertise Experience with machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL Low level systems experience, for example linux kernel tuning and eBPF  Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems   Deadline to apply: None. Applications will be reviewed on a rolling basis.   The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £240,000 — £325,000 GBP Logistics Minimum education: Bachelor’s 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 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