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  3. Senior Software Engineer, Machine Learning, Calibration
Nuro logo

Senior Software Engineer, Machine Learning, Calibration

Nuro
Mountain View, California
Full Time
Posted February 10, 2026
$194k - $291k
Not Specified
~99 people viewed this recently
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Application opens on company website

Job Description

Nuro is seeking a Software Engineer with expertise in robotics and machine learning to develop sensor calibration algorithms and improve state estimation for autonomous driving systems, working across sensor data integration and system performance analysis.

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 algorithms
  • Integrate calibration pipelines into the autonomy system and assess onboard performance and resource utilization
  • Collaborate with other teams to improve ML model training and system performance
  • Address critical questions related to sensor data and autonomy performance

Requirements

  • A PhD in machine learning, computer science, electrical engineering, robotics, or a related field, and 3 years of industry experience.
  • Or a Master's degree 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.
  • Experience in research, development, and implementation of machine learning methods with sensor data such as IMU, camera, lidar, radar, etc.
  • Experience in developing online and offline unstructured targetless sensor calibration algorithms.
  • Experience with classical state estimation techniques, non-linear least-squares optimization, and lie algebra is a bonus.
  • Experience in building offline and online state estimation and calibration algorithms with camera, lidar, radar, IMU, etc.
  • Experience in simulating and modeling real sensors including noise modeling for camera, lidar, radar, IMU, etc.
  • Experience in building ML pipelines and optimizing ML models for productization.
  • 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.
  • Ability to work cross-functionally with other autonomy teams to accelerate ML training and end-to-end performance evaluation.

Benefits & Perks

Compensation/salary range between $193,930 and $291,150 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package

Ready to Apply?

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