Senior Staff Engineer, Machine Learning - Online Mapping

Who We Are

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 Team

Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines.

About the Role Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation.

About the Work

• Research, develop, and implement state-of-the-art online mapping models and algorithms.
• Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system.
• Work cross functionally with other ML teams to integrate our models into centralized architectures.
• Collaborate with stakeholders across autonomy, infrastructure, and systems teams on online mapping needs and requirements.

About You

• Proven record of solving in-production ML problems and making tradeoffs between data, model and evaluation.
• Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models with applications in AV, robotics, mapping, computer vision, or related areas.
• Prioritize impact and practicality, and make decisions to ensure on-time delivery of solutions.
• Able to quickly iterate and experiment to cut through the noise and make well-informed, data-driven decisions.
• Experience with robotics-related ML applications, 3D geometry.
• Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax.

Bonus Points

• Proficiency in working with complex multi-component systems.
• Experience in building ML pipelines and optimizing/productizing ML models.
• Familiarity with modern ML tools and infrastructure such as distributed training and ML compilers.
• Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).
• Deep understanding of 3D geometry and state estimation fundamentals.

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