Job Specifications
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
Anthropic is seeking talented and experienced Infrastructure Engineers to join our Core Infrastructure team and support the development, scaling, and maintenance of our cutting-edge AI systems. By joining our Core Infrastructure team, you will have the opportunity to work on groundbreaking AI technologies and contribute to the development of frontier models, supporting Anthropic's mission to create safe and reliable AI systems that benefit humanity.
The Core Infrastructure team is responsible for supporting some of the largest, most sophisticated clusters in the industry used to train, research, and ultimately serve AI models. Your work will be crucial in ensuring Anthropic can continue reliably and safely training frontier models. You will be responsible for building systems and running large Kubernetes clusters using GPU/TPU/Trainium accelerators.
Responsibilities
Lead the build-out of industry-leading compute clusters (thousands+ of machines), partnering closely with cloud service providers
Build and maintain large-scale Kubernetes clusters optimized for GPU/TPU/Trainium workloads
Design and implement systems that ensure reliability, scalability, and performance for frontier model training
Consult with research teams to deeply understand infrastructure and compute needs, identifying solutions to support frontier research
Set technical strategy and oversee development of high-scale, reliable infrastructure systems
You may be a good fit if you
Have experience leading large-scale, complex projects or teams as an engineer or tech lead
Are experienced with distributed systems at scale, infrastructure reliability, scalability, security, and continuous improvement
Have deep experience with Kubernetes and container orchestration at scale
Have strong proficiency in at least one programming language (e.g., Python, Rust, Go)
Have strong problem-solving skills and the ability to work independently
Have a passion for supporting internal partners like research teams to understand their needs
Have excellent communication skills to build consensus with stakeholders, both internally and externally
Possess deep knowledge of modern cloud infrastructure, including Infrastructure as Code, AWS, and GCP
Strong Candidates May Have
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
Experience building and operating clusters at the scale of thousands+ of nodes
Technical expertise in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Annual Salary
PS240,000 - PS325,000 GBP
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
About the Company
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale.
Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
Know more