Software Engineer, Machine Learning Infrastructure at Nuro
Interview Preparation Plan
Nuro is seeking a Software Engineer focused on Machine Learning Infrastructure to develop and enhance the core systems that power their autonomous driving technology. This role involves building and maintaining scalable ML pipelines for training and deployment, optimizing hardware utilization, and ensuring the software driving their autonomous vehicles is robust and efficient. You will work on critical components of Nuro's ML infrastructure, collaborating with cross-functional teams to deliver end-to-end ML solutions. The ideal candidate will have a strong background in ML infrastructure or large-scale distributed systems, coupled with hands-on experience with deep learning frameworks and a passion for robotics and autonomous systems.
Key Responsibilities
- Design and implement scalable machine learning pipelines for model training and deployment.
- Optimize the utilization of hardware capabilities for ML workloads.
- Collaborate with cross-functional teams to create and integrate end-to-end ML solutions.
- Write high-quality software to enhance the safety and efficiency of autonomous vehicles.
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