Waymo is looking to solve the problem of safely operating autonomous vehicles in dozens of cities and under all driving conditions by developing machine learning solutions addressing open problems in autonomous driving.
Requirements
- Proficiency in writing and debugging Python/numpy-style code
- Proficiency and in-depth knowledge of the inner workings of an ML framework (e.g. Pytorch, JAX, Tensorflow)
- Proficiency in system performance: parallelism, buffering/prefetching and pipelining, and asynchronicity
- Experience with large scale system reliability and failure-resilience/recovery
- Expertise in ML accelerator programming, including but not limited to CUDA, Triton, or ML compilers
- Knowledge of hardware micro-architectures and instruction sets
- Proficiency in C++
Responsibilities
- Enable the team to develop large scale end-to-end driving models with high hardware efficiency, reliable training and inference, and good developer experience
- Participate in model design from a hardware-efficiency's perspective
- Partner with other Waymo and Google teams to collaborate on infra work
Other
- Bachelor degree in Computer Science, similar technical field of study, or equivalent practical experience
- Hybrid work schedule
- Report to a Principal Research Scientist
- Eligibility to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program
- Travel requirements not specified
