Staff+ Software Engineer, Research Systems Engineering

Anthropic | Artificial intelligence

1h 29m ago

Hybrid

Full Time

United States of America

$320k - $485k USD/yr

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.

Key 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

Minimum qualifications

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

Preferred qualifications

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

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.

Annual Salary:

$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.

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 about our policy for using AI in our application process.

Required Skills

pythonrustgolangjavakubernetesawsgcp

Required Languages

🇬🇧 English