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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
~30 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.

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 and state estimation pipelines into the autonomy system
  • Collaborate with other teams to improve ML model training and system performance
  • Address sensor data and autonomy performance questions

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 with classical state estimation techniques such as non-linear least-squares optimization and lie algebra is a bonus.
  • Experience in building offline and online state estimation and calibration algorithms with sensors like camera, lidar, radar, IMU, etc.
  • Experience in simulating and modeling real sensors including noise modeling for camera, lidar, radar, IMU, etc.
  • 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 ML model 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 options
Competitive benefits package

Ready to Apply?

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