Senior/Staff Machine Learning Engineer, Sensor Simulation

Nuro•Mountain View, CA

5d•$193,930 - $291,150

About The Position

Nuro is seeking a Software Engineer with robotics and machine learning expertise to join their Sensor Data and Calibration team. The role involves developing synthetic sensor simulation models and algorithms, with a focus on research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data. The position is scoped as a Senior/Staff Individual Contributor with the potential to grow 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