Senior/Staff Engineer, Machine Learning - Online Mapping

Who We Are

Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us—that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors.

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.

Responsibilities

• 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 an end-to-end 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.

Requirements

• 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.

Pay

For this position, the reasonably expected base pay range is between $183,825 and $333,925. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.