[ engineering ]
Tpu Performance Engineer
Anthropic- Location
- Seattle, WA
- Work mode
- Hybrid
- Type
- full time
- Listed
Applications go directly to Anthropic. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
TPU Kernel Engineer at Anthropic responsible for identifying and addressing performance issues in ML systems, including research, training, and inference. This role involves designing and optimizing kernels for TPUs and providing feedback on model performance impacts.
Skills and focus areas
- tpu optimization
- gpu optimization
- ml systems optimization
- kernel design
- low-level optimization
- large-scale systems
- computer architecture
- ml framework internals
- language modeling
- transformers
Summary written by Ramai from the original posting. Full details and requirements are on Anthropic’s careers page.
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