Anthropic’s Engineering Manager for GPU (ML Accelerator) will lead teams focused on improving model performance and scaling inference and training systems. The role requires a blend of leadership, technical expertise in large-scale ML and GPU/accelerator programming, and a commitment to AI safety. Managers will drive project execution, prioritize work in a dynamic environment, coach team members, and ensure efficient use of compute resources. The position offers a competitive salary, benefits, and opportunities for professional growth within a fast‑paced AI research organization.
Engineering Manager, GPU (ML Accelerator) at Anthropic
Hybrid - San Francisco, CA; New York City, NY; Seattle, WA
More jobs at AnthropicSalary
USD 500,000 - 850,000
Requirements
Skills
- 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
- Strong stakeholder relationship building at all levels
- Quick learning ability and capability to understand complex technical topics
- Experience managing teams through rapid growth and change
- High performance, large-scale ML systems
- GPU/Accelerator programming
- ML framework internals
- OS internals
- Language modeling with transformers
Responsibilities
- 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 reports in understanding and pursuing professional growth
- Maintain a deep understanding of the team's technical work and its implications for AI safety
Technologies
GPUAccelerator programmingMachine learning frameworksOperating system internalsTransformers for language modeling
See if your resume is ready for this job
See how our AI can optimize your resume and improve your chances for this role.