Software Engineer Intern, Pose (Vehicle State Estimation)

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.

Role Responsibilities:

• Develop software for pose estimation and evaluation using IMU, Wheel, GNSS
• Develop tools for data and statistics collection and analysis
• Work closely with autonomy software engineers to meet project timelines

Role Requirements:

• Strong C or C++ programming skills
• Good computer science fundamentals, e.g. data structures, concurrency and algorithm design
• Good understanding of pose estimation, SLAM, probabilistic filtering, 3D geometry
• Good problem solving and debugging skills
• Good communication and collaboration skills

Must Haves:

• Graduation date in or before December 2027
• Robotics, Computer Engineering, Computer Science or closely related field

Nice to Haves:

• MS or PhD students
• Proficient with Kalman Filtering, GNSS, IMU, Wheel encoder, Lidar
• Proficient with device driver development
• Knowledge of AV safety standards
• Knowledge of self driving stack, autonomy, controls, etc.

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.