Jobs at Nuro

Responsible for designing and developing scalable data pipelines, storage systems, and monitoring tools for ML data infrastructure, ensuring system integrity and performance evaluation.

Develop large-scale data processing systems for autonomous driving, including storage, dashboards, and data pipelines, while ensuring integrity and resilience.

Design and develop robust data processing systems and pipelines, implement data storage solutions, and ensure system integrity through testing and monitoring.

Design and develop data pipelines for autonomous driving systems, create storage for data metrics, build dashboards, and maintain data integrity, focusing on ML components.

Develop high-quality visualization platforms for autonomous technology, work with autonomy engineers, and create polished visualizations for external applications.

The Software Operations Specialist at Nuro conducts quality control and testing for software in robotics and autonomy, ensures accurate documentation of findings, and collaborates with teams to enhance processes.

Develop and maintain scalable and reliable data annotation systems, implement data quality metrics, and apply ML research to optimize the data lifecycle.

The role involves developing visualization frameworks for autonomous driving technology, collaborating with teams to enhance development workflows and produce high-quality visualizations.

Embed with software QC and labeling teams to audit workflows and improve procedures, rubrics, and taxonomy. Turn observations into actionable recommendations, run calibration sessions with offshore vendors, and own clear, durable documentation and rollout to maintain consistent quality.

As a Machine Learning Research Scientist, you will develop advanced algorithms for behavior planning and prediction for autonomous vehicles, focusing on machine learning techniques to solve real-world challenges in trajectory generation and motion planning.

Lead external communications strategy for Nuro, driving media relations, technical storytelling, major announcements, crisis response, executive coaching, and cross-functional alignment. Translate complex autonomy and AI topics into clear narratives, manage PR agencies, and create structure across messaging, approvals, timelines, and deliverables.

Design and implement mapping systems for robotics, analyze algorithm performance, and collaborate with teams to deliver localization solutions.

As a Software Reliability Engineer, you'll design and operate systems for Nuro's autonomous vehicle platform, improve reliability through automation and feedback, and lead investigations for operational improvements.

The Software Engineer will design and implement video streaming solutions, build simulation frameworks, and collaborate on network metrics collection to improve teleoperations.

Design, build, and operate backend services for ride planning, vehicle matching, and real-time trip execution. Integrate partner APIs, build telemetry pipelines for live vehicle state, and own feature lifecycle from requirements through launch. Ensure reliability and performance of distributed systems used in production on road.

Lead product initiatives that scale operations for autonomous vehicles by partnering with Operations, Engineering, Design, Strategy, and Legal. Define roadmaps, design tools to improve operator efficiency, surface root causes, measure success, and prioritize features based on user impact and business value. Drive end-to-end product development and data-driven decisions to improve safety and operational efficiency.

The Software Engineer for Performance Tooling and Infrastructure will develop and maintain performance benchmarks, data pipelines, and monitoring systems, ensuring the reliability and scalability of Nuro's testing tools for autonomous vehicles.

The People and Compliance Site Lead ensures operational compliance and workforce readiness at Nuro's facility, conducting audits, monitoring safety, and collaborating with managers to enhance site performance.

Develop and deploy onboard autonomy software for self-driving vehicles, including real-time decision-making, behavior planning, and performance optimization.

The role involves developing and maintaining performance benchmarking infrastructure, ensuring platform reliability, and designing data pipelines, while collaborating across teams and driving technical vision.