TPU Kernel Engineer - Remote

Overview

As a TPU Kernel Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU.

In Short

• Identify and address performance issues in ML systems
• Design and optimize TPU kernels
• Provide feedback on model performance impacts
• Collaborate with researchers
• Work on large-scale systems problems
• Engage in pair programming
• Explore machine learning research
• Contribute to societal impacts of AI
• Implement low-latency sampling for language models
• Debug kernel performance at the assembly level

Requirements

• Experience optimizing ML systems for TPUs or GPUs
• Results-oriented mindset
• Ability to work flexibly
• Interest in machine learning research
• Bachelor's degree in a related field or equivalent experience

Benefits

• Competitive compensation
• Generous vacation and parental leave
• Flexible working hours
• Equity donation matching
• Collaborative office environment