Software Engineer, Machine Learning, Sensor Simulation

Who We Are

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.

About The Role

Our robotics 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 synthetic sensor simulation models and algorithms. The ideal candidate has hands-on experience in the research, development, and implementation of machine learning methods (e.g., NeRF or Gaussian splatting) for generating synthetic sensor data (photorealistic images, realistic lidar and/or radar, etc.).

About The Work

• Research, develop, and implement state-of-the-art synthetic sensor simulation methods.
• Analyze and characterize the realism and utility of synthetic sensor data.
• Answer critical questions about sensor data and autonomy performance.
• Collaborate with stakeholders across autonomy, infrastructure, and systems teams on map needs and requirements.
  
  

About You

• Bachelor's and 1+ 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 simulating/modeling real sensors (camera, lidar, radar, IMU, etc...), including noise modeling.
• Experience in modern ML graphics techniques, e.g., NeRF, Gaussian Splatting, and/or generative models.
• 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 $145,830 and $219,000 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.