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.
We are seeking an experienced backend Software Engineer to join Anthropic’s Cloud Inference team. You will help architect, build, and scale Anthropic's cloud offerings that make our large language models available to customers across multiple platforms. Working across cloud ecosystems gives you a unique vantage point to identify and solve complex distributed systems challenges.
You will solve technical challenges in safety, security, efficiency, and reliability while collaborating strategically with major cloud partners to enable frontier AI capabilities. Your work will enable customers to integrate our AI capabilities in their applications.
Responsibilities- Scale model serving infrastructure – You will architect and develop systems to meet growing demand while maintaining strict safety, security, efficiency, and reliability requirements across multiple cloud platform deployments.
- Optimize accelerator utilization – Accelerator chips are gold in the AI world. You will help measure and optimize the allocation of chips serving Anthropic's models, playing a key role in helping these precious resources go to their best possible use.
- Strategic external collaboration – You will work closely with major cloud platforms to implement and optimize frontier AI capabilities across their ecosystems, building strong technical partnerships that advance our long-term goals.
- Build and operationalize infrastructure – You will work to improve and extend the core infrastructure needed to package, test, and deploy Anthropic's inference technology across multiple platforms. This work is a force-multiplier as it accelerates our ability to reliably launch new models and features to customers.
- Implement trust and safety measures– AI safety is core to Anthropic's mission. You will help design and implement safety measures directly into our APIs and infrastructure to ensure consistent protection across all platforms.
- Contribute to Anthropic's core mission - with your innovative ideas and system architecture enhancements to build ever-better beneficial AI systems.
- Have strong practical coding skills (including Python) and experience with complex distributed systems
- Are adept at designing highly observable code and systems that operate reliably at scale
- Take a customer-focused approach to building infrastructure, backend systems, and customer-facing APIs
- Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space
- Have excellent written and verbal communication skills and comfort with a high degree of collaboration with both internal and external engineers and product managers
- Have a proclivity for "leaving it better than you found it": making things better without letting perfect be the enemy of good
- Are motivated by developing AI responsibly and safely
- Designing and implementing large-scale API platforms
- Building products with LLM/AI components
- Experience developing software services in Rust
- Tools like Kubernetes, Docker, containerization tech
- Deep experience building services on AWS or GCP
- Code performance optimization or service cost optimization
- Holding the pager for a critical live site service or taking the role of incident manager
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
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 differentWe 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.
