Nuro-posted about 2 months ago
$145,830 - $219,000/Yr
Full-time • Entry Level
Mountain View, CA
501-1,000 employees
Publishing Industries

Our robotics team is growing and we are looking for a Software Engineer to join our Sensor Data and Calibration team. We are searching for an engineer with robotics and machine learning expertise to develop synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.).

  • 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.
  • Bachelor's and 1+ 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.
  • 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).
  • annual performance bonus
  • equity
  • competitive benefits package
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