About the job
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.
Responsibilities
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
Qualifications
Minimum
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
Preferred
Experience building reliable large scale distributed systems
Experience with observability, monitoring and incident management
Experience applying ML research in real world applications
Experience leading teams, designing and executing team roadmaps