Description
Anthropic's Research Productivity organization builds infrastructure and systems to accelerate research. We're seeking an experienced software engineer to scale this infrastructure as demand grows rapidly.
This team operates like a startup within a startup. You'll scope complex projects, drive cross-org alignment, and make architectural decisions shaping research infrastructure.
Responsibilities
- Design, build, and scale infrastructure supporting rapid usage growth
- Independently scope and lead complex, multi-month engineering projects
- Drive cross-organizational alignment on technical direction
- Make architectural decisions shaping research infrastructure and tooling
- Partner with researchers to understand workflows and anticipate changing needs
- Iterate quickly with pragmatic solutions and fast feedback loops
- Ensure reliability and scalability of critical systems
- Help set technical standards and mentor other engineers
Minimum Qualifications
- Experience designing, building, and operating large-scale distributed systems
- Track record of delivering complex, ambiguous projects
- Strong software engineering fundamentals and hands-on coding ability
- Experience making architectural decisions
- Strong written and verbal communication skills
- Ability to operate in ambiguous environments
Strong candidates may also have
- Experience building infrastructure for research or machine learning workflows
- Direct experience with reliability and architectural challenges in rapidly scaling systems
- Experience with distributed systems, cloud infrastructure, and infrastructure-as-code
- Familiarity with large-scale machine learning research needs
- Experience operating in a startup-like environment
- Prior experience as a technical lead or mentor
The annual compensation range for this role is $405,000-$625,000 USD.
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://job-boards.greenhouse.io/anthropic/jobs/5283063008