Performance Engineer - Remote

Overview

As a Performance Engineer at Anthropic, you will be responsible for optimizing the throughput and robustness of large distributed systems, particularly in the context of machine learning algorithms.

In Short

• Identify and solve systems problems in large-scale ML.
• Develop systems to optimize performance.
• Collaborate with a team of engineers and researchers.
• Work on high-performance ML systems.
• Engage in pair programming.
• Contribute to societal impacts of AI.
• Implement low-latency sampling for language models.
• Debug kernel-level network issues.
• Design fault-tolerant distributed systems.
• Participate in a collaborative research environment.

Requirements

• Significant experience in software engineering or machine learning.
• Experience with supercomputing scale systems.
• Results-oriented with flexibility and impact.
• Willingness to learn about machine learning research.
• Experience with GPU/Accelerator programming.
• Knowledge of ML framework internals.
• Understanding of OS internals.
• Experience with language modeling using transformers.
• Ability to work in a hybrid office environment.
• Strong communication skills.

Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Collaborative office space.