Currently tracking 34 active AI roles, up 94% versus the prior 4 weeks. Primary focus: Data · Engineering. Salary range $120k–$387k (avg $249k).
| Title | Stage | AI score |
|---|---|---|
| Senior/Staff Software Engineer, ML Data Nuro is seeking a Senior/Staff Software Engineer to lead their ML Data engine, focusing on transforming autonomy data into high-value training signals for AI models. The role involves designing and building scalable data pipelines, developing data products for researchers, creating tools for data introspection, integrating labeling operations, and operationalizing active learning methods. This is a technical leadership role at the intersection of autonomy, ML, and infrastructure. | Data | 8 |
| Senior Software Engineer, Perception ML Data Nuro is seeking a Senior Software Engineer for their Perception ML Data team. This role focuses on bridging ML innovation and autonomy infrastructure by designing and advancing systems for curating geographically diverse datasets using VLMs, developing synthetic data frameworks across sensor modalities, and optimizing ML-powered validation of data quality and model readiness. The engineer will work across autonomy, infrastructure, databases, simulation, and ML development, with a focus on applied ML and systems rigor for scalable data curation and annotation, quantifying synthetic data fidelity, and building tools to surface data gaps impacting perception model performance. | Data | 8 |
| Senior Software Engineer, Machine Learning, 3D Reconstruction Nuro is seeking a Senior Software Engineer, Machine Learning to join their Sensor Data and Calibration team. The role focuses on developing synthetic sensor simulation models and algorithms using machine learning methods like NeRF or Gaussian splatting for generating realistic sensor data (images, lidar, radar). | Data | 8 |
| Senior Software Engineer, Machine Learning, Sensor Simulation Nuro is seeking a Senior Software Engineer, Machine Learning, Sensor Simulation to join their robotics team. The role involves researching, developing, and implementing state-of-the-art synthetic sensor simulation methods using machine learning techniques like NeRF or Gaussian splatting to generate realistic synthetic sensor data (images, lidar, radar). The engineer will analyze the realism and utility of this data and collaborate with autonomy and infrastructure teams. | Data | 8 |
| Program Manager, Data Quality Program Manager for Data Quality at Nuro, focusing on ML Operations. This role involves investigating annotation faults, auditing live pipelines, managing offshore annotation teams, and defining/measuring data quality standards for ML training. The goal is to ensure data quality directly impacts model safety and performance in autonomous vehicles. | Data | 7 |
| Senior Software Engineer, Map Platform Nuro is seeking a Senior Software Engineer for their Map Platform team to build and improve HD map generation and release pipelines, develop scalable workflows for map data management, and create APIs for internal users. The role focuses on a machine learning-first approach to enhance geographic capabilities for autonomous driving systems. | Data | 7 |
| Technical Lead, Behavior & Triage Labeling Nuro is seeking a Technical Lead for their Behavior & Triage Labeling team. This role focuses on building and operating highly scalable and reliable distributed systems for data annotation, crucial for Nuro's ML-first autonomous driving technology. The team ensures access to high-quality labeled data by managing a comprehensive labeling stack, processing millions of sensor data points weekly, and collaborating closely with autonomy engineers. The role involves applying ML research to optimize the data labeling lifecycle and productionizing core infrastructure for the autonomy system. | Data | 7 |
| Software Engineer, ML Data Infrastructure Nuro is seeking a Software Engineer, ML Data Infrastructure to build and maintain scalable data pipelines for autonomous driving systems. This role involves designing systems for ingesting, processing, storing, and evaluating large volumes of data, including developing data annotation tools and applying ML techniques for data discovery and scaling labels. The focus is on creating robust data infrastructure to support the advancement of ML models for self-driving technology. | Data | 7 |
| Senior/Staff Software Engineer, ML Data Infrastructure Nuro is seeking a Senior/Staff Software Engineer to build and scale ML data infrastructure for autonomous driving. This role involves designing and developing large-scale data pipelines, storage systems for evaluation metrics, and data annotation tools, with a focus on applied ML techniques to improve data quality and discovery. | Data | 7 |
| Senior/Staff Software Engineer, Labeling Platform Nuro is seeking a Senior/Staff Software Engineer to build and operate a highly available, fault-tolerant data labeling platform for their autonomous driving systems. This role involves productionizing core infrastructure, improving label quality through data-driven metrics, and applying ML research to automate the labeling lifecycle. The ideal candidate will have experience in designing and operating scalable distributed data systems, Python/C++/Go programming skills, and leadership experience. | Data | 7 |
| Software Engineer, AI Platform - New Grad Software Engineer, AI Platform - New Grad role at Nuro, focusing on the Data Platform team. Responsibilities include managing Nuro AI Driver's data, labels, and metrics, data annotation across perception, mapping, and behavior trajectory, data ingestion and mining using heuristics and embedding search, and supporting autonomy evaluation infrastructure. Requires a Bachelor's or Master's degree in CS, EE, Robotics, or related field, graduating by July 2026, with experience in large-scale distributed systems, data storage/processing, C++/Python, machine learning, and robotics software frameworks. | Data | 7 |
| Senior Software Engineer, Machine Learning, Calibration Nuro is seeking a Senior Software Engineer, Machine Learning, Calibration to develop online and offline unstructured sensor calibration algorithms using robotics and machine learning expertise. The role involves researching, developing, and implementing ML methods with sensor data, analyzing algorithm performance, and integrating pipelines into the autonomy system. Experience with state estimation techniques and ML model training/evaluation is required. | DataPost-train | 7 |