ML Compiler Engineer, Compute

Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the autonomous vehicle's software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate with many other teammates to ensure we design and improve hardware and software for maximum performance. We are a diverse team looking for curious and talented teammates to work on one of the world's highest performance automotive compute platforms.

In this hybrid role you will report to the Manager of Software Engineering

In this role you'll:

• Maximize performance of our neural networks by enhancing and extending our production grade compiler
• Work with hardware architects and model developers to develop understanding of our unique neural network inference platform and neural networks
• Implement compiler support for novel features of our high-performance architecture

At a minimum, we'd like you to have:

• BS degree in Computer Science/Electrical Engineering or equivalent practical experience and 3+ years of industry experience OR
• MS degree in Computer Science/Electrical Engineering and 1+ years of industry experience OR
• PhD Degree in Computer Science/Electrical Engineering
• 1+ years of industry and/or academic experience with compilers and parallel computing
• 1+ years of industry and/or academic experience working with ML inference or linear algebra computations
• C++ programming skills

It's preferred if you have:

• Python programming experience
• Experience with compilers for neural networks
• Knowledge of computer architectures used for neural network inference, and neural network performance characteristics
• Knowledge of the principles behind popular machine learning and neural network algorithms and applications

#LI-Hybrid