Anthropic
Staff+ Software Engineer, Infrastructure (Distributed Systems)
$320K–$485K
San Francisco, CA +5 · Staff · Full-time · Posted Oct 29, 2025
- Location
- San Francisco, CA
New York City, NY
Seattle, WA
New York, New York, United States
San Francisco, California, United States
Seattle, Washington, United States - Experience
- Minimum years correlate with internal job level requirements; preferred: 10+ years of software engineering experience, not including internships.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa.
About the job
Leads the design and operation of distributed infrastructure that supports training, serving, and securing AI models.
What you'll do
- Scope and lead complex infrastructure projects from initial design through production.
- Set technical architecture and strategy, aligning multiple teams on infrastructure direction.
- Own system reliability, scalability, security, and operational processes; partner with research and product teams and mentor engineers.
What they ask for
- Production experience designing, building, and operating large-scale distributed systems or infrastructure.
- Track record independently delivering complex, ambiguous, multi-month technical projects and making architectural decisions used by other teams.
- Strong software engineering fundamentals and proficiency in at least one programming language.
- Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP; strong communication and cross-team alignment skills.
Nice to have
- Experience with machine learning infrastructure (GPUs, TPUs, or Trainium) and networking infrastructure such as NCCL; low-level systems experience such as Linux kernel tuning or eBPF.
- Security or privacy engineering background; prior technical leadership or mentoring experience.
Pay
$320,000 — $485,000 USD annual base salary
Tools
Kubernetes, AWS, GCP, Python, Rust, Go, Java, NCCL
AI focus
Builds infrastructure for training, serving, and securing AI models; may support machine learning infrastructure such as GPUs, TPUs, or Trainium.
Model-written summary · the original posting is authoritative