Senior Software Engineer, Machine Learning, Calibration

<p><strong>Who We Are </strong></p> <p>Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.</p> <p><strong>About the Role<br><br></strong>Our 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.</p> <p><strong>About the Work<br></strong></p> <ul> <li>Research and develop state-of-the-art state estimation and calibration algorithms combining classic robotics and modern ML techniques.</li> <li>Analyze and characterize the accuracy and performance of state estimation and calibration algorithms.</li> <li>Integrate state estimation and calibration pipelines into the autonomy system and analyze onboard performance and resource utilization.</li> <li>Work cross-functionally with other autonomy teams to accelerate the training of ML models and end-to-end performance evaluation.</li> <li>Answer critical questions about sensor data and autonomy performance.</li> </ul> <p><strong>About You<br></strong></p> <ul> <li>One of: <ul> <li>PhD in machine learning, computer science, electrical engineering, robotics, or related field, and 3+ years of industry experience.</li> <li>Masters and 4+ years of industry experience.</li> <li>5+ years of industry experience.</li> </ul> </li> <li>Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models.</li> <li>Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax.</li> </ul> <p><strong>Bonus Points</strong><em><br></em></p> <ul> <li> <ul> <li>Deep understanding of 3D geometry and state estimation fundamentals.</li> <li>Proficiency in systems coding.</li> <li>Experience in building offline/online state estimation and/or calibration algorithms with camera, lidar, radar, IMU, etc.</li> <li>Experience in simulating/modeling real sensors (camera, lidar, radar, IMU, etc...), including noise modeling.</li> <li>Experience in building ML pipelines and optimizing/productizing ML models.</li> <li>Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).</li> </ul> </li> </ul> <p><span style="font-weight: 400;"> </span></p> <p>At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,930 and $291,150 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.</p> <p><em><span style="font-weight: 400;">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 ... (truncated, view full listing at source)