Engineering Manager, GPU (ML Accelerator)
Core
Lead engineering efforts to improve model performance and scale inference and training systems for Anthropic's AI products.
Role type
Engineering Manager, GPU (ML Accelerator)
Builds
Robust and durable solutions for efficient compute resource use in inference and training
Domain
Artificial Intelligence / Machine Learning / High-Performance Computing
Deliverable
production ML models
Required skills
Management of technical teams, performance optimization, distributed systems, machine learning, AI systems, stakeholder management, professional coaching, technical stack familiarity
Preferred skills
GPU/Accelerator programming, ML framework internals, OS internals, language modeling with transformers, high-performance large-scale ML systems
Responsibilities
Provide front-line leadership of engineering efforts to improve model performance and scale inference and training systems, manage day-to-day execution of the team's work, prioritize the team's work in a dynamic environment, coach and support reports in professional growth, maintain deep understanding of technical work and AI safety implications
Seniority
Manager, hands-on IC with team leadership
