Software Engineer, ML Infrastructure, Optimization
Build and optimize ML infrastructure for autonomous vehicles, focusing on model optimization, compilers, and deployment across the autonomy stack. Requires 2+ years in ML optimization and strong Python/C++/CUDA skills.
160k – 241k
On-site2+ YOEML Engineering
About the role
About the Work
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.
About You
2+ years of relevant experience in ML optimization infrastructure.
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 deep learning frameworks (like PyTorch, Jax, Tensorflow, Keras).
Proficient in Python and working experience with C++.
You are passionate about accelerating the benefits of robotics for everyday life.
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