Senior/Staff Software Engineer, Labeling Platform
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- annual performance bonus
- equity
- a competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
501-1,000 employees
