Performance Engineer

Company: Anthropic Limited
Location: San Francisco
Posted on: November 9, 2024

Job Description:

Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also.
You may be a good fit if you:

• 
  
• Have significant software engineering or machine learning experience, particularly at supercomputing scale
  
• Are results-oriented, with a bias towards flexibility and impact
  
• Pick up slack, even if it goes outside your job description
  
• Enjoy pair programming (we love to pair!)
  
• Want to learn more about machine learning research
  
• Care about the societal impacts of your work
  
  Strong candidates may also have experience with:
  
  • 
    
  • High performance, large-scale ML systems
    
  • GPU/Accelerator programming
    
  • ML framework internals
    
  • OS internals
    
  • Language modeling with transformers
    
    Representative projects:
    
    • 
      
    • Implement low-latency high-throughput sampling for large language models
      
    • Implement GPU kernels to adapt our models to low-precision inference
      
    • Write a custom load-balancing algorithm to optimize serving efficiency
      
    • Build quantitative models of system performance
      
    • Design and implement a fault-tolerant distributed system running with a complex network topology
      
    • Debug kernel-level network latency spikes in a containerized environment
      
      Deadline to apply:None. Applications will be reviewed on a rolling basis.
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Keywords: Anthropic Limited, Ceres , Performance Engineer, Engineering , San Francisco, California