14 days ago
Base Salary
$320k - $485k/yr
Responsibilities
- Scope and lead complex, multi-month infrastructure projects from ambiguous beginnings through production.
- Make architectural decisions that shape infrastructure foundations used by other engineers and teams.
- Drive technical alignment and strategy across multiple teams and stakeholders.
- Partner with research and product teams to translate infrastructure and compute needs into technical designs.
- Own the reliability, scalability, and security of developed systems as usage and complexity grow.
- Build operational processes including incident response, postmortems, and on-call rotations.
- Mentor engineers and raise the team’s technical standards.
Requirements
- Experience designing, building, and operating large-scale distributed systems or production infrastructure.
- Track record of independently scoping and delivering complex, ambiguous, multi-month technical projects.
- Experience making architectural decisions adopted by other engineers and teams.
- Strong software engineering fundamentals and proficiency in at least one programming language, such as Python, Rust, Go, or Java.
- Experience with modern cloud infrastructure, including Kubernetes and infrastructure-as-code, on AWS and/or GCP.
- Strong written and verbal communication skills with experience driving alignment across teams or stakeholders.
- Preferred: 10+ years of software engineering experience, excluding internships.
- Preferred: machine learning infrastructure experience with GPUs, TPUs, Trainium, and networking infrastructure such as NCCL.
- Preferred: low-level systems experience including Linux kernel tuning or eBPF.
- Preferred: security or privacy engineering best practices and prior technical leadership or mentoring experience.
- Bachelor’s degree in a relevant field, or an equivalent combination of education, training, and/or experience.
Benefits
- Hybrid work policy requiring staff to be in an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship and immigration-lawyer support when applicable.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
- Applications reviewed on a rolling basis with no stated deadline.
Categories
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.