Software Engineer, Research Infrastructure

The shape of it

In the posting’s own words

This team operates like a startup within a startup. You'll be a strong fit if you like thinking from first principles, iterating fast on infrastructure, and tackling reliability and scalability challenges head-on as the products built on top of your systems evolve underneath you.

What it asks for · 6

• 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
• Strong software engineering fundamentals and hands-on coding ability
• Experience making architectural decisions that other engineers and teams build on top of
• Strong written and verbal communication skills, with experience driving alignment across multiple teams or stakeholders
• Demonstrated ability to operate effectively in ambiguous, fast-changing environments

Also a plus

• Experience building infrastructure or platforms specifically for research or machine learning workflows
• Direct experience navigating the reliability and architectural challenges that come with rapidly scaling systems
• Experience with distributed systems, cloud infrastructure, and infrastructure-as-code
• Familiarity with the compute, tooling, and workflow needs of large-scale machine learning research
• Experience operating in a startup or startup-like environment, i.e. a small, fast-moving team with high autonomy
• Prior experience as a technical lead or mentor for other engineers

What the job covers

• Design, build, and scale infrastructure and systems that support rapidly increasing usage, where requirements and workload continue to evolve as the products built on top of them evolve
• Independently scope and lead complex, multi-month engineering projects, from an ambiguous starting point through to a production system
• Drive cross-organizational alignment on technical direction, working through ambiguous problem spaces with multiple stakeholders and teams
• Make architectural decisions that shape the foundation of research infrastructure and tooling across Anthropic
• Partner directly with researchers to deeply understand their workflows, then anticipate and design for how those needs will change
• Iterate quickly, favoring pragmatic, first-principles solutions and fast feedback loops over heavy upfront design
• Take ownership of the reliability and scalability of critical systems as load, usage, and complexity increase
• Help set technical standards and best practices for the team, and mentor other engineers

Tools and skills named

Words the posting leans on

• infrastructure10×
• experience8×
• research8×
• systems8×
• ambiguous5×
• design4×
• engineers4×
• technical4×
• workflows4×
• alignment3×
• architectural decisions3×
• build3×
• evolve3×
• projects3×
• reliability3×
• startup3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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