Senior/Staff Machine Learning Engineer, Sensor Simulation

Nuro•Mountain View, CA

About The Position

Nuro is seeking a Software Engineer with expertise in robotics and machine learning to join our Sensor Data and Calibration team. This role focuses on developing synthetic sensor simulation models and algorithms. The ideal candidate will have practical experience in researching, developing, and implementing machine learning techniques, such as NeRF or Gaussian splatting, for generating synthetic sensor data, including photorealistic images and realistic lidar and/or radar data. The position is structured as a Senior/Staff Individual Contributor with potential for growth into a Tech Lead/TLM role.

Requirements

PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience OR Masters and 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

Nice To Haves

Deep understanding of 3D geometry and state estimation fundamentals
Proficiency in systems coding
Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc), including noise modeling
Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models.
Experience in building ML pipelines and optimizing/productizing ML models
Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA)

Responsibilities

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