Senior Software Engineer, ML Infrastructure

About the role

Join our engineering group to build the foundational systems that power autonomous driving technology. You will design and maintain the infrastructure required to train and deploy complex machine learning models at scale.

Key facts

What you'll do

• Architect and scale distributed systems for training large-scale machine learning models.
• Develop tools and pipelines to streamline the development lifecycle for autonomy software.
• Optimize infrastructure performance to support the transition toward licensing automated driving solutions.
• Collaborate with research and robotics teams to integrate new model architectures into the Nuro Driver stack.

Requirements

• Professional experience building and managing production-grade machine learning infrastructure.
• Proficiency in software engineering principles and distributed systems design.
• Ability to work on-site at our Mountain View headquarters.

Skills & tools

• Machine Learning Infrastructure
• Distributed Systems
• Software Engineering
• Autonomous Driving Software Stacks

Practical notes

Nuro is currently pivoting its business model to focus on licensing automated driving software for robotaxis and personally owned vehicles. The company recently secured 106 million dollars in funding to support this strategic shift.