Senior​/Staff Software Engineer, ML Infrastructure, Optimization

# Senior/Staff Software Engineer, ML Infrastructure, Optimization## Nuro Published 26 Jun 2026### Share this job Mountain View, CA, USA
194K - 352K USD Annual Full Time## Role Highlights### Languages used

PythonC++CUDA### Key skills

Deep Learning Machine Learning Full StackLLMsAILogistics Deployment Infrastructure Optimization Perception Compilers Robotics ### Tools, Libraries and FrameworksGPUsJAXPy Torch Tensorflow Keras ## Description The role involves designing, building, and deploying core infrastructure components within the machine learning model life cycle. Responsibilities include optimizing the autonomy stack through techniques such as quantization, distillation, and model compression. The individual will work with autonomy engineers to validate and deploy large language models.

Furthermore, the position requires developing and maintaining a model compiler framework. The work also entails writing software to ensure vehicle safety and collaborating with domain experts to implement end-to-end machine learning solutions.##

Required Qualifications and Skills Candidates must possess at least three years of relevant experience in machine learning optimization infrastructure. Proficiency in Python and working experience with C++ and CUDA are required. Applicants must demonstrate experience with machine learning optimization techniques, including quantization and pruning, as well as experience with machine learning compilers. Additionally, the role requires working experience with deep learning frameworks such as PyTorch, Jax, Tensorflow, and Keras.
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