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Engineering Manager, GPU (ML Accelerator)

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA

Lead performance and scaling teams for compute resources. Identify and remove bottlenecks in inference and training to maximize system efficiency and durability in AI workloads.

gpu · ml-accelerator · performance · engineering-management

Role
Engineering
Remote policy
fully-remote
Salary
USD 500k+
Team
AI Research & Engineering
Posted
2025-05-29
First seen
2026-11-01
Last seen alive
2026-11-02
Last verified
2026-11-01
Verification
AI-verified
Board
greenhouse
Report expired / not remote

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