Join Anthropic as a Staff Software Engineer to enhance deployment infrastructure for AI systems in a collaborative environment.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 9 hours ago
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Benefits
Joblaze summary
In this role, the Staff and Senior Software Engineer will focus on designing and building the deployment infrastructure that ensures seamless transitions of inference code into production. Key skills include proficiency in Kubernetes, experience with resource-constrained scheduling, and a strong background in automation to enhance deployment efficiency. This position is ideal for seasoned engineers with over five years of experience in large-scale deployment environments, particularly those familiar with machine learning infrastructure. Anthropic's collaborative team environment emphasizes impactful AI research, making it a unique opportunity for those passionate about advancing AI safety an
Joblaze insights
- Listed about 3 months ago — first seen on Joblaze June 29, 2026. Last confirmed on Anthropic's careers page October 8, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 79% of 105 comparable staff ai/ml roles in United States that list Python we track (median $224,000 across 43 companies). See Python salary trends
- Python appears in 51.1% of 270 comparable staff ai/ml roles in United States; TPU appears in 1.5% of 270 comparable staff ai/ml roles in United States.
Quick facts
- Is the Staff + Senior Software Engineer, Inference Deployment role remote?
- It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
- What's the salary range?
- Anthropic lists $320,000–$485,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Staff + Senior Software Engineer, Inference Deployment role.
- Where is the role based?
- Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: GPU, Kubernetes, Python, Rust, TPU, Trainium.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff + Senior Software Engineer, Inference Deployment role at Anthropic.
From the original posting
About Anthropic
About the role
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems.
Key responsibilities
- Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide
- Develop resilient, flexible systems that adapt in real time to real world events
- Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
- Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
- Build and operate production-grade deployment pipelines for releasing new models to users
- Provide high-performance inference infrastructure that enables researchers to develop next-generation models
- Integrate new AI accelerator platforms and support inference for new model architectures
Minimum qualifications
- Significant software engineering experience, particularly with distributed systems
- Results-oriented, with a bias towards flexibility and impact
- Willingness to pick up slack, even if it goes outside your job description
- Desire to learn more about machine learning systems and infrastructure
- Thrive in environments where technical excellence directly drives both business results and research breakthroughs
- Care about the societal impacts of your work
Preferred qualifications
- Experience with high-performance, large-scale distributed systems
- Experience implementing and deploying machine learning systems at scale
- Experience with load balancing, request routing, or traffic management systems
- Familiarity with LLM inference optimization, batching, and caching strategies
- Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
- Proficiency in Python or Rust
Representative projects
- Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments
- Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
- Building production-grade deployment pipelines for releasing new models to millions of users reliably
- Contributing to new inference features
- Supporting inference for new model architectures
- Analyzing observability data to tune performance based on real-world production workloads
- Managing multi-region deployments and geographic routing for global customers
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.