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). • Proficient in Python and working experience with C++. • You are passionate about accelerating the benefits of robotics for everyday life. At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.