Senior Software Engineer, Labeling Tools

Senior Software Engineer, Labeling Tools

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 an expressive workflow definition framework, scalable infrastructure, and a suite of data annotation tools. Nuro works with industry leading sensors. Our tools must handle efficient visualization and annotation of millions of points of sensor data.

Improving label quality is an iterative and experimental process in collaboration with Nuro's autonomy teams. The team partners closely with autonomy engineers to ensure teams have high quality labeled data in a timely manner.

About the Work

• Own performance end-to-end for Nuro's labeling tools (profile, optimize, and scale) using C++, Qt, and OpenGL.
• Define and drive the technical vision for the in-house labeling tools, from architecture to execution.
• Integrate tools with cloud services to improve labeling pipelines and drive improvements in label quality.
• Build CI/CD pipelines to accelerate developer experience and release changes to Nuro's labeling workforces.
• Partner with ML teams to define labeling requirements for the latest model needs and deliver high-quality labeled data
• Drive the end-to-end labeling experience by working with cross-functional partners and operations to improve labeling

About You

• You have a degree in B.Sc or M.Sc., plus 3 years of relevant work experience
• You have experience with native application development using C++, QT and OpenGL
• You have excellent communication, presentation, interpersonal, and analytical skills
• You have experience setting team or project product and technical vision, timelines and prioritization
• You are committed to improving the code quality, setting technical standards and best practices across the broader software organization

Bonus Points

• Knowledge of data engineering, its tooling and best practices
• Knowledge of graphics engineering, cpu and gpu optimization
• Experience working with sensor data and data visualization
• Experience with profiling and performance tuning native applications
• Experience working with large scale distributed data systems

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $183,825 and $275,975 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.