Nuro is looking to build and improve the core infrastructure for autonomy teams to push the autonomous future forward by designing, building, and deploying core infrastructure components in machine learning model life cycle.
Requirements
- Proficient in Python and C++.
- Working experience deep learning frameworks (like PyTorch, Jax, Tensorflow, Keras).
- Experience with ML optimization techniques such as quantization and pruning, and ML compilers.
- Experience maintaining, profiling, and optimizing GPU ML compilers & runtimes.
- Experience writing custom ML operators in CUDA and Triton Language.
Responsibilities
- Optimize Nuro’s autonomy stack with cutting-edge optimization techniques like quantization, low precision inference, and model pruning.
- Work with autonomy engineers to optimize, validate, and deploy large language models.
- Develop and maintain a world-class model compiler framework, FTL.
- Write robust, high quality software to increase our confidence in our 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
- Highly productive, motivated, and comfortable with new, unfamiliar environments.
- You are passionate about accelerating the benefits of robotics for everyday life.
- At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees.
- Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.
