About the job
About Us
Nuro is at the forefront of self-driving technology, dedicated to making autonomy available to everyone. Established in 2016, we are developing the world's most scalable driver by merging innovative AI with robust automotive hardware. Our flagship technology, the Nuro Driver™, is licensed to facilitate a variety of applications, from robotaxis to commercial fleets and personal vehicles. With years of successful self-driving deployments, Nuro is paving the way for automakers and mobility platforms to achieve commercial-scale autonomy, enabling a safer, more interconnected future.
Role Overview
Our Sensor Data and Calibration team is expanding, and we are seeking a Senior Software Engineer with a strong background in robotics and machine learning. You will be responsible for designing both online and offline unstructured (targetless) sensor calibration algorithms. The ideal candidate will have extensive hands-on experience in the research, development, and application of machine learning methods utilizing various sensor data types (IMU, camera, lidar, radar, etc.). Familiarity with classical state estimation techniques, such as non-linear least-squares optimization and Lie algebra, is a plus.
Key Responsibilities
- Develop cutting-edge state estimation and calibration algorithms leveraging both traditional robotics and modern machine learning techniques.
- Evaluate and characterize the accuracy and performance metrics of state estimation and calibration algorithms.
- Integrate calibration pipelines into the autonomy system while monitoring onboard performance and resource usage.
- Collaborate with cross-functional teams to enhance ML model training and overall performance assessment.
- Address critical inquiries regarding sensor data and overall autonomy effectiveness.

