Engineer (Autonomy - Perception & Prediction)

Responsible for developing and deploying image, lidar and radar-based perception for our self-driving vehicles. Research and develop neural networks for perception and prediction problems such as object detection, instance segmentation, classification, future motion prediction, sensor fusion, traffic light detection, and more.

Develop clean software for the perception modules that sit at the core of our autonomous vehicle perception and interface with all other key modules such as localization, mapping, and planning. Develop core deep learning codebase for efficient training and testing pipelines. Conduct deep learning experiments, write reports, and file patents.

Position is fixed location based in Venice office; however, telecommuting from a home office may also be allowed 100% of the time. Requires a Master's degree in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a directly related field plus one (1) year of experience designing perception Algorithms for self-driving vehicles. Must have one (1) year of experience in the following (experience may be gained concurrently): Designing, Training, and Analyzing neural networks for at least one of the following applications: object detection, image segmentation, sensor fusion, multitask learning, traffic light detection, active learning, or one-shot learning.

Utilizing common machine learning and deep learning algorithms. Python. Pytorch or TensorFlow. C++ or Cuda programming. 40 hours/week, 9:00am-5:00pm, Salary:

One Hundred Forty-Two Thousand to Two Hundred Six Thousand Dollars / year. Please send your resume to jean.curley@motional.com Req#SM2024VEN.