Senior Staff Software Engineer, Labeling Platform

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.

About the Role

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.

The team plays a crucial role in the advancement of autonomous driving systems by ensuring teams have access to high-quality labeled data. This is facilitated by a comprehensive labeling stack featuring a workflow execution framework, supporting infrastructure, and a suite of data annotation tools. Nuro’s autonomy stack utilizes an industry-leading sensor suite. Our tools must handle the efficient processing and annotation of millions of points of sensor data. Our labeling infrastructure supports millions of scenes weekly.

The platform team’s mission is to make labeled data accessible for all of our users. The system must be reliable and scalable. This includes everything from request submission to progress tracking, to data dumping and model development. The team closely collaborates with autonomy engineers to ensure our labeled data is high-quality and comprehensive. As Nuro prepares to expand and roll out our service, it will be more important than ever to ensure all issues are captured and quickly triaged.

About the Work

• Build highly available, fault-tolerant systems for data annotation
• Productionize core infrastructure for our state-of-the-art autonomy system
• Elevate label quality by implementing data-driven metrics and monitoring
• Apply cutting-edge ML research to automate and optimize the data labeling lifecycle

About You

• You have a B.Sc. or M.Sc. degree and 5+ years of relevant industry experience
• You have experience in designing, building, and operating highly scalable and reliable distributed data systems.
• You have experience leading cross-team projects and have excellent communication skills
• You are experienced in defining technical visions, creating roadmaps, and setting timelines and prioritization for a team or project.
• You have strong problem-solving and programming skills in Python, C++ or Go

Bonus Points

• Experience building reliable large scale distributed systems
• Experience with observability, monitoring and incident management
• Experience applying ML res