Engineering Manager, GPU (ML Accelerator)

Anthropic's performance and scaling teams focus on making the most efficient and impactful use of compute resources. As an Engineering Manager, you will lead engineering efforts to improve model performance and scale inference and training systems.

• Provide front-line leadership of engineering efforts to improve model performance and scale 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.

• 1+ years of management experience in a technical environment, particularly performance or distributed systems.
• Background in machine learning, AI, or a similar related technical field.
• Deep interest in the potential transformative effects of advanced AI systems and commitment to ensuring their safe development.
• Excellent at building strong relationships with stakeholders at all levels.
• Quick learner, capable of understanding and contributing to discussions on complex technical topics.
• Experience managing teams through periods of rapid growth and change.

• High performance, large-scale ML systems
• GPU/Accelerator programming
• ML framework internals
• OS internals
• Language modeling with transformers

Annual Salary: $500,000—$850,000 USD

Minimum education: Bachelor’s degree or equivalent. Location-based hybrid policy: all staff in one of our offices at least 25% of the time. Visa sponsorship is available.