Senior Software Engineer, Machine Learning, 3D Reconstruction

• Research, develop, and implement state-of-the-art synthetic sensor simulation methods.
• Analyze and characterize the realism and utility of synthetic sensor data.
• Answer critical questions about sensor data and autonomy performance.
• Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements.

This role contributes to making autonomy accessible to all by developing advanced synthetic sensor simulation models and algorithms, supporting Nuro's mission to empower a safer, richer, and more connected future through self-driving technology.

• PhD in machine learning, computer science, electrical engineering, robotics, or related field with 3+ years of industry experience, OR Masters with 4+ years of industry experience, OR 5+ years of industry experience.
• Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models.
• Strong Python skills with experience in deep learning frameworks (e.g., PyTorch, TensorFlow, or Jax).

Base pay range: $193,930 - $291,150 annually, plus annual performance bonus, equity, and a competitive benefits package. Nuro fosters a diverse workplace with inclusion and psychological safety for all employees.

Nuro is a self-driving technology company founded in 2016, building the world's most scalable driver by combining cutting-edge AI with automotive-grade hardware. Its mission is to make autonomy accessible to all, licensing its Nuro Driver™ technology to support applications from robotaxis to personally owned vehicles.