Software Engineer, Machine Learning, Sensor Simulation

Software Engineer, Machine Learning, Sensor Simulation

Join to apply for the Software Engineer, Machine Learning, Sensor Simulation role at Nuro

Software Engineer, Machine Learning, Sensor Simulation

Join to apply for the Software Engineer, Machine Learning, Sensor Simulation role at Nuro

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.

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 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

• 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 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 $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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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