Software Engineer, Core Infrastructure
Software Engineer, Core Infrastructure
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Job Description
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
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 Anthropics 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 expectedbase compensation for this position is below. Our total compensation package for full-time employees includes equity benefits and may include incentive compensation.
Annual Salary:
240000 - 325000 GBP
Logistics
Education requirements: We require at least a Bachelors 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 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 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.
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 aboutour policyfor using AI in our application process
Employment Type
Full Time
