Tech and design

Engineering Manager, GPU (ML Accelerator)

AnthropicSan Francisco or Seattle

• Pay$500,000–850,000 per year
• WhereSan Francisco or Seattle
• ExperienceExperienced
• PerksVisa sponsorship
• Skills and toolsHigh-performance ML systems, Distributed systems, GPU programming, Accelerator programming, ML framework internals, OS internals, Language modeling with transformers
• You’ll need1+ years of technical management experience, Bachelor’s degree or equivalent relevant education, training, or experience
• AlsoHybrid policy: at least 25% of the time in an office
• ReferenceRef. 1295
• In the paper untilThu 19 Nov

About the job

$500,000–$850,000 a year. New York, San Francisco, or Seattle; hybrid, with at least 25% of the time in an office. Lead engineering work improving model performance and scaling inference and training systems. Requires 1+ years of technical management experience and a bachelor’s degree or equivalent relevant education, training, or experience. Visa sponsorship available.

This is our short summary. Read the full posting on boards.greenhouse.io.

Found on boards.greenhouse.io. Not placed by the employer; applications go to the original posting.