Performance Engineer, Inference Engine
Anthropic · San Francisco, CA | New York City, NY · San Francisco, CA
CHECKED 4H AGO
Frontier labonsite$350k–$850k
At a glance
Highlights
- Optimize in-house inference engine serving Claude to millions of users.
- Improve throughput, cost, reliability and latency across accelerator platforms.
- Drive measurement loop that makes Claude faster with every iteration.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space for collaboration
Ideal candidate
A systems-minded performance thinker who ramps fast in deep unfamiliar codebases, profiles before changing code, and loves pairing. Low-ego collaborator motivated by making Claude faster, reliable, and safe for society.
Requirements
- Working mental model of LLM inference across compute, memory, and interconnect
- Proven quick learner who ramps fast and ships consequential changes
- Strong systems programming in Rust, C++, or similar with care for quality
- Analytical about performance: profile, hypothesize, test, then measure
- Low ego, takes feedback well, and picks up slack outside job description
- Enjoys pair programming and cares about societal impacts of work
- Bachelor's degree or equivalent combination of education and experience
- remote policy
- In office at least 25% of the time
- visa sponsorship
- We do sponsor visas, but not for every role and every candidate
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