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Engineering Manager, GPU (ML Accelerator)

Anthropic· AI Research & Engineering
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Hybrid (San Francisco, CA), Hybrid (New York City, NY), Hybrid (Seattle, WA)$500k - $850kfull-timePosted 11mo ago

About the role

Engineering Manager role focused on leading performance and scaling teams at Anthropic to optimize inference and training systems, remove bottlenecks, and accelerate compute efficiency while ensuring AI safety implications are considered.

Responsibilities

  • Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems
  • Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor
  • Manage day-to-day execution of the team's work
  • Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment
  • Coach and support your reports in understanding, and pursuing, their professional growth
  • Maintain a deep understanding of the team's technical work and its implications for AI safety

Qualifications

  • Have 1+ years of management experience in a technical environment, particularly performance or distributed systems
  • Have a background in machine learning, AI, or a similar related technical field
  • Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
  • Excel at building strong relationships with stakeholders at all levels
  • Are a quick learner, capable of understanding and contributing to discussions on complex technical topics
  • Have experience managing teams through periods of rapid growth and change
  • Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective

Skills

Required:Leadership and people managementDistributed systemsMachine learning / AI backgroundStakeholder management

Benefits

  • Generous vacation and parental leave
  • Flexible working hours
  • Office space for collaboration
  • Optional equity donation matching
Last updated Jul 8, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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