Senior Software Engineer, Machine Learning, Calibration

Who We Are

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver is one of the few driverless autonomous technologies on public roads today.

Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We've partnered with some of the world's most respected brands including Uber, FedEx, Domino's, Walmart, Kroger, and 7-Eleven.

About the RoleOur 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 online and offline unstructured (targetless) sensor calibration algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods with sensor data (IMU, camera, lidar, radar, etc.). Experience with classical state estimation techniques (non-linear least-squares optimization, lie algebra) is a bonus.

About the Work

• Research and develop state-of-the-art state estimation and calibration algorithms combining classic robotics and modern ML techniques.
• Analyze and characterize the accuracy and performance of state estimation and calibration algorithms.
• Integrate state estimation and calibration pipelines into the autonomy system and analyze onboard performance and resource utilization.
• Work cross-functionally with other autonomy teams to accelerate the training of ML models and end-to-end performance evaluation.
• Answer critical questions about sensor data and autonomy performance.

About You

• One of:
  • PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience.
  • Masters and 4+ years of industry experience.
  • 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.

Bonus Points

• Deep understanding of 3D geometry and state estimation fundamentals.
• Proficiency in systems coding.
• Experience in building offline/online state estimation and/or calibration algorithms with camera, lidar, radar, IMU, etc.
• Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc...), including noise modeling.
• 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).

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $167,200 and $250,800 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.