AnthropicSan Francisco, CADesigns and optimizes TPU kernels to address performance issues in ML research, training, and inference systems. Provides feedback on model impacts and solves large-scale systems problems, requiring deep accelerator expertise.
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Annual Salary: $280,000 — $850,000 USD
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