Senior Software Engineer, Machine Learning, Calibration

• Research and develop state-of-the-art state estimation and calibration algorithms combining classic robotics and modern ML techniques.
• Analyze and characterize the accuracy and performance of state estimation and calibration algorithms.
• Integrate state estimation and calibration pipelines into the autonomy system and analyze onboard performance and resource utilization.
• Work cross-functionally with other autonomy teams to accelerate the training of ML models and end-to-end performance evaluation.

This role contributes to making autonomy accessible to all by developing advanced calibration algorithms for self-driving technology, empowering a safer, richer, and more connected future through scalable autonomous vehicles.

• 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).
• Bonus: Deep understanding of 3D geometry and state estimation fundamentals, proficiency in systems coding, experience with sensor calibration algorithms, sensor simulation/modeling, ML pipeline building, and research publications in top conferences.

Base pay range: $193,930 - $291,150 annually, plus annual performance bonus, equity, and a competitive benefits package. Nuro fosters a diverse and inclusive workplace with 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. It licenses its Nuro Driver™ technology to support applications like robotaxis, commercial fleets, and personally owned vehicles, providing a clear path to autonomous vehicles at commercial scale.