Engineering Manager, GPU (ML Accelerator)

Benefits

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About this role

Engineering Manager, GPU (ML Accelerator) San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic's performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training. As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems. You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. 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 You may be a good fit if you: - Have 1+ years of management experience

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