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Software Engineer, Machine Learning, Calibration

Nuro
Mountain View, California
Full Time
Posted June 21, 2025
$167k - $251k
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Job Description

The role involves developing and integrating advanced sensor calibration and state estimation algorithms using robotics and machine learning techniques to enhance autonomous driving systems at Nuro.

Key Responsibilities

  • Research and develop state estimation and calibration algorithms combining robotics and machine learning techniques
  • Analyze and evaluate the accuracy and performance of calibration and state estimation algorithms
  • Integrate calibration and state estimation pipelines into the autonomous system and monitor onboard performance
  • Collaborate with other teams to improve ML model training and overall system performance

Requirements

  • A PhD in machine learning, computer science, electrical engineering, robotics, or a related field, and 3 years of industry experience.
  • Or a Masters degree in one of these fields and 4 years of industry experience.
  • Or 5 years of industry experience without specifying educational requirements.
  • Deep understanding of machine learning 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.
  • Experience in developing online and offline unstructured targetless sensor calibration algorithms.
  • Hands-on experience in the research, development, and implementation of machine learning methods with sensor data such as IMU, camera, lidar, radar, etc.
  • Experience with classical state estimation techniques, non-linear least-squares optimization, and lie algebra is a bonus.
  • Ability to analyze and characterize the accuracy and performance of state estimation and calibration algorithms.
  • Ability to integrate state estimation and calibration pipelines into the autonomy system and analyze onboard performance and resource utilization.
  • Experience working cross-functionally with other autonomy teams to accelerate training of ML models and evaluate end-to-end performance.
  • Ability to answer critical questions about sensor data and autonomy performance.

Benefits & Perks

Compensation/salary range between $167,200 and $250,800 depending on experience and qualifications
Annual performance bonus
Equity options
Competitive benefits package

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