Staff+ Software Engineer, Research Systems Engineering
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · Software Engineering - Infrastructure · listed October 7, 2026
The shape of it
Seniority
Staff
Experience asked
10+ years
Where
Hybrid
Stated pay
$320,000 – $485,000 USD
Requirements listed
7
Length
946 words
In the posting’s own words
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.
What it asks for · 7
- 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
Also a plus
- 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
What the job covers
- 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
Tools and skills named
Cloud & infra
- Distributed systems2×
- AWS
- GCP
- Kubernetes
- Linux
Languages
- Go
- Java
- Python
- Rust
Models & research
- GPU
- Machine learning
Security & compliance
- Security2×
Ways of working
- Cross-functional
- On-call
Go to market
- Partnerships
Words the posting leans on
- experience10×
- infrastructure10×
- systems7×
- build6×
- lead4×
- technical4×
- ambiguous3×
- engineers3×
- infrastructure e.g3×
- research3×
- alignment2×
- building2×
- complex multi-month2×
- depends2×
- distributed systems2×
- every2×
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