About the Position

Staff+ Software Engineer, Research Systems Engineering

Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY

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's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models. Every other team at Anthropic depends on these systems.

In this role, you'll work directly with our Research teams to build the reliable, scalable, performant infrastructure our research depends on. This is a cross-functional systems team: you'll scope and lead complex, multi-month infrastructure projects and resolve the performance and scalability bottlenecks that limit how fast we can grow.

Responsibilities

Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
Build deep partnerships with researchers and Research teams to understand their needs and deliver for them
Mentor other engineers and help raise the technical bar for the team
Build alignment on technical direction across multiple teams, working through ambiguous problem spaces
Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
Lead the improvement of operational processes across Infrastructure, such as incident response, postmortems, and on-call rotations, so the team learns from every incident

Requirements

Experience designing, building, and operating large-scale distributed systems or infrastructure in production
Experience independently scoping and delivering complex, ambiguous, multi-month technical projects
Prior experience as a technical lead or mentor for other engineers
Experience making architectural decisions that other engineers and teams build on top of
Strong software engineering fundamentals and proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
Experience with modern cloud infrastructure (e.g., Kubernetes, infrastructure as code, AWS, GCP)
Strong written and verbal communication skills, with experience building alignment across multiple teams or stakeholders

Nice to Have

10+ years of software engineering experience, not including internships
Experience with machine learning infrastructure (e.g., GPUs, TPUs, Trainium) and associated networking infrastructure (e.g., NCCL)
Low-level systems experience (e.g., Linux kernel tuning, eBPF)
Experience applying security or privacy engineering best practices

We Offer

Competitive compensation with an annual salary range of $320,000-$485,000 USD
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Lovely office space in San Francisco, Seattle, or New York City

About the Company

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.

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 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 committed to fostering a diverse and inclusive workplace. 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.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In 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 you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings.

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Staff+ Software Engineer, Research Systems Engineering

Job description