Software Engineer, Machine Learning, Sensor Simulation

Who you are

You have a Bachelor's degree and at least 1 year of industry experience in machine learning and robotics. You possess a deep understanding of machine learning fundamentals and have hands-on experience with methods such as NeRF or Gaussian splatting. Your expertise includes developing algorithms for generating synthetic sensor data, including photorealistic images and realistic lidar or radar outputs. You are comfortable collaborating with cross-functional teams and stakeholders to address map needs and requirements. You thrive in a workplace that fosters inclusion and psychological safety, and you are eager to contribute to a mission-driven company.

What you'll do

In this role, you will research, develop, and implement state-of-the-art synthetic sensor simulation methods. You will analyze and characterize the realism and utility of synthetic sensor data, answering critical questions about sensor data and autonomy performance. You will collaborate with stakeholders across autonomy, infrastructure, and systems teams to ensure that the sensor data meets the necessary requirements for various applications. Your work will directly contribute to the development of Nuro's self-driving technology, making autonomy accessible to all.

What we offer

Nuro provides a supportive and inclusive work environment where you can grow your skills and contribute to innovative projects. You will have the opportunity to work with cutting-edge AI and automotive-grade hardware, contributing to the development of scalable driver technology. Nuro is committed to fostering a diverse workplace and encourages you to apply even if your experience doesn't match every requirement. Join us in our mission to empower a safer, richer, and more connected future.