Software Engineer, ML Infrastructure, Optimization

The Autonomy ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model pipelines to building to deploying the optimized models on Nuro’s fleet of self-driving robots!

• 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).