ML Compiler Engineer, Compute
About The Position
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. 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. This role follows a hybrid work schedule and you will report to a Software Engineering Manager.
Requirements
- 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 or equivalent years of experience
- 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
Nice To Haves
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
