Anthropic
Engineering Manager, GPU (ML Accelerator)
US
UTC-10 to UTC-5 $500k to $850k per year Full time
Lead or Staff
- Where you can live
- San Francisco, CA | New York City, NY | Seattle, WA
- Working hours
- Overlap with UTC-10 to UTC-5
- Salary
- USD 500,000 to 850,000 per year
- Posted
- May 29, 2025
Machine Learning
Excel
Summary from the posting
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
This is a short summary. The full description, requirements and the application form are on Anthropic's own career page.