Staff+ Software Engineer, Infrastructure (Distributed Systems)

Anthropic; San Francisco (CA); On-site; USD 320,000 - 485,000; Full time

Job summary

Anthropic in San Francisco is seeking a Staff+ Software Engineer for Infrastructure (Distributed Systems). You will independently scope and drive multi-month infrastructure projects, shape the architectural direction, and collaborate with research and product teams to meet evolving compute needs.

The role emphasizes reliability, scalability, and security of large-scale systems, mentorship of engineers, and building operational processes like incident response and postmortems.

Qualifications

• Experience leading complex, multi-month infrastructure projects.
• Strong architectural decision-making across teams and systems.
• Hands-on with modern cloud infrastructure (Kubernetes, AWS, GCP).
• Mentor engineers and raise technical standards across teams.
• Excellent written and verbal communication with multiple stakeholders.

Responsibilities

• Independently scope and lead multi-month infra projects from start to production.
• Make foundational architectural decisions for infrastructure used by multiple teams.
• Drive alignment on technical direction across teams and stakeholders.
• Collaborate with research and product teams to translate needs into robust designs.
• Ensure reliability, scalability, and security as systems grow.
• Build and improve incident response and postmortem processes.
• Mentor other engineers to raise the team's technical bar.

Skills

Distributed systems

Kubernetes

Python

Go

Rust

Architectural design

Mentoring

Communication skills

AWS/GCP

Security

Education

Bachelor's degree

Tools

Terraform

Kubernetes tooling

Infrastructure as code

Job description

Staff+ Software Engineer, Infrastructure (Distributed 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.

About the role

Anthropic's Infrastructure organization builds and operates the distributed systems that train, serve, and secure our AI models, including data pipelines, some of the largest Kubernetes clusters in the world, along with the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff+ Software Engineer on our Infrastructure team, you'll independently scope and lead complex, multi-month infrastructure projects, make the architectural decisions other engineers build on, and work closely with research and product teams to understand their needs and build systems that keep pace as those needs evolve.

• Team placement happens after the interview process, based on your interests and experience alongside organizational needs. This lets us match you with the team where you'll have the most impact.

Key responsibilities

• Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system
• Make architectural decisions that shape the foundation of infrastructure other engineers and teams build on
• Drive alignment on technical direction across multiple teams, working through ambiguous problem spaces
• Partner with research and product teams to understand their infrastructure and compute needs, and translate them into technical designs
• Take ownership of the reliability, scalability, and security of the systems you build as usage and complexity grow
• Set technical strategy and standards for your team's infrastructure
• Build and improve operational processes, such as incident response, postmortems, and on-call rotations, that help the team learn from every incident
• Mentor other engineers and help raise the technical bar for the team
• Experience designing, building, and operating large-scale distributed systems or infrastructure in production
• A track record of independently scoping and delivering complex, ambiguous, multi-month technical projects
• 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 (for example, Python, Rust, Go, or Java)
• Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP
• Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders

Preferred qualifications

• 10+ years of software engineering experience, not including internships
• Experience with machine learning infrastructure, such as GPUs, TPUs, or Trainium, and associated networking infrastructure like NCCL
• Low-level systems experience, such as Linux kernel tuning or eBPF
• Background in security or privacy engineering best practices
• Prior experience as a technical lead or mentor for other engineers

Deadline to apply: None. Applications are 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.

$320,000 - $485,000 USD

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 of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you [e-mail] 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.

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 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 policy for using AI in our application process.