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 the optimization of hardware and software for maximum performance.

In this hybrid role, you will report to a Software Engineering Manager.

You will:

• Analyze the performance characteristics of code generated by our production grade compiler, and design and implement optimizations to improve that performance
• Design and implement compiler support for novel features of our high-performance architecture
• Work with hardware architects to understand and influence the development of our unique neural network inference platform through hardware/software codesign
• Work with model developers to tune their neural networks for better inference efficiency and accuracy

You have:

• BS degree in Computer Science/Electrical Engineering or equivalent experience and 5+ years of industry experience OR
• MS degree in Computer Science/Electrical Engineering and 3+ years of industry experience
• PhD degree in Computer Science/Electrical Engineering and 1+ years of industry experience
• 3+ years experience working on compilers for parallel architectures
• 1+ years experience working with ML inference or linear algebra computation
• C++ programming skills

We prefer:

• 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