Staff + Senior Software Engineer, Inference
Anthropic · Ontario, CAN · Ontario, CA
CHECKED 4H AGO
Frontier labonsitesenior, staff
At a glance
Highlights
- Build systems serving Claude to millions of users worldwide daily.
- Design intelligent routing and autoscaling across thousands of accelerators.
- Enable breakthrough research with high-performance inference infrastructure.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Collaborative office space
Ideal candidate
A results-oriented distributed systems engineer who thrives on high-impact, flexible work and cares deeply about AI safety and societal impact, eager to learn ML infrastructure.
Requirements
- Significant software engineering experience, particularly with distributed systems
- Results-oriented with bias toward flexibility and impact
- Willing to pick up work outside job description
- Desire to learn machine learning systems and infrastructure
- Thrive where technical excellence drives business and research breakthroughs
- Care about societal impacts of work
- Bachelor's degree or equivalent combination of education and experience in a relevant field
- Experience with high-performance, large-scale distributed systems (preferred)
- Experience implementing and deploying ML systems at scale (preferred)
- Experience with load balancing, request routing, or traffic management (preferred)
- Familiarity with LLM inference optimization, batching, and caching (preferred)
- Experience with Kubernetes and cloud infrastructure such as AWS, GCP, Azure (preferred)
- Proficiency in Python or Rust (preferred)
- remote policy
- Hybrid: expected in office at least 25% of the time; some roles may require more
- visa sponsorship
- Visa sponsorship available but not guaranteed for every role and candidate
- hiring process
- Applications reviewed on a rolling basis with no deadline
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google