Performance Engineer

Anthropic is seeking a Performance Engineer to identify and solve novel systems problems, developing systems that optimize throughput and robustness of our largest distributed systems. This role is part of the AI Research & Engineering team.

• Identify novel systems problems at scale
• Develop systems to optimize throughput and robustness of distributed systems
• Implement low-latency high-throughput sampling for large language models
• Implement GPU kernels for low-precision inference
• Write custom load-balancing algorithms
• Build quantitative models of system performance
• Design and implement fault-tolerant distributed systems
• Debug kernel-level network latency spikes

• Significant software engineering or machine learning experience, particularly at supercomputing scale
• Results-oriented with bias towards flexibility and impact
• Enjoy pair programming
• Interest in learning more about machine learning research
• Care about societal impacts of work
• Strong candidates may have experience with high performance large-scale ML systems, GPU/Accelerator programming, ML framework internals, OS internals, and language modeling with transformers

Annual salary range: $280,000—$850,000 USD.

Anthropic offers competitive compensation and benefits, including parental leave, flexible working hours, and a collaborative office space.

There is no deadline to apply; applications are reviewed on a rolling basis.