3 months ago
Mountain View, CA, USAMid Level
H1B sponsor
Base Salary
$160k - $241k/yr
Responsibilities
- Optimize Nuro’s autonomy stack using quantization, low-precision inference, model pruning, and related techniques.
- Collaborate with autonomy engineers to optimize, validate, and deploy large language models.
- Develop and maintain the FTL model compiler framework.
- Write robust, high-quality software that improves confidence in vehicle navigation safety.
- Work with behavior, perception, and mapping experts to design and implement end-to-end learned machine learning solutions.
Requirements
- At least 2 years of relevant experience in ML optimization infrastructure.
- Experience with ML optimization techniques such as quantization and pruning, and with ML compilers.
- Experience maintaining, profiling, and optimizing GPU ML compilers and runtimes.
- Proficiency in Python and working experience with C++ and CUDA.
- Working experience with deep learning frameworks such as PyTorch, Jax, TensorFlow, and Keras.
- Passion for accelerating the benefits of robotics for everyday life.
Benefits
- Eligible for an annual performance bonus, equity, and a competitive benefits package.
Categories
About Nuro
Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.
