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Machine Learning Compiler Engineer
2 months ago
Waymo is a leading autonomous driving technology company with a mission to create the most trusted driver. Our team is responsible for delivering the compute platform that powers our autonomous vehicles, and we're seeking a talented Machine Learning Compiler Engineer to join our ranks.
About the RoleWe're looking for a skilled compiler engineer to maximize the performance of our neural networks. You'll work closely with our hardware architects and model developers to develop a deep understanding of our unique neural network inference platform and neural networks. Your expertise will be crucial in implementing compiler support for novel features of our high-performance architecture.
Responsibilities- Enhance and extend our production-grade compiler to maximize neural network performance
- Collaborate with hardware architects and model developers to develop a deep understanding of our neural network inference platform and neural networks
- Implement compiler support for novel features of our high-performance architecture
- BS degree in Computer Science/Electrical Engineering or equivalent practical experience and 3+ years of industry experience
- MS degree in Computer Science/Electrical Engineering and 1+ years of industry experience
- 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
- 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
Waymo employees are eligible to participate in our discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. The expected base salary range for this full-time position across US locations is $158,000 - $200,000 USD.
