Nuro is looking to improve its autonomous driving technology and commercialize its applications through the development of its core infrastructure for autonomy teams.
Requirements
- Experience with ML optimization techniques such as quantization and pruning, and ML compilers.
- Experience maintaining, profiling, and optimizing GPU ML compilers & runtimes.
- Proficient in Python and working experience with C++ and CUDA.
- Working experience with deep learning frameworks (like PyTorch, Jax, Tensorflow, Keras).
- Experience with ML optimization infrastructure.
- Proficient in Python and working experience with C++.
Responsibilities
- Optimize Nuro’s autonomy stack with cutting-edge optimization techniques like quantization, distillation, and model compression.
- Work with autonomy engineers to optimize, validate, and deploy large language models.
- Develop and maintain a world-class model compiler framework.
- Write robust, high quality software to increase confidence in the vehicle’s ability to navigate safely on-road.
- Collaborate closely with machine learning domain experts and engineers across behavior, perception and mapping to design and implement end-to-end learned ML solutions.
Other
- 3+ years of relevant experience.
- Passionate about accelerating the benefits of robotics for everyday life.
- Base pay range is between $167,200 and $303,050.
- Eligible for an annual performance bonus, equity, and a competitive benefits package.
