Software Engineer, Research Infrastructure
Anthropic · San Francisco, CA | New York City, NY · Posted Jul 6, 2026
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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 Research Productivity organization builds the infrastructure and systems that accelerate research across Anthropic, including the tools that help our research process get faster and more effective over time. We're looking for an experienced software engineer to join us as we scale this infrastructure at a moment when both demand and scope are growing extremely quickly.
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.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make the architectural decisions that shape how the infrastructure behind our research tooling gets built. You'll partner directly with research teams to understand their workflows, anticipate how their requirements will change, and design and scale infrastructure that can keep pace.
Responsibilities
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
Minimum Qualifications
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
Strong candidates may also have
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
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:
$405,000 $625,000 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. Resear…