Principal Software Engineer (Perception - Computer Vision/Machine Learning)

Aurora Mountain View , CA 94039

Posted 2 months ago

Aurora hires people who are excited to build the future of transportation. We are looking for machine learning experts to develop and implement the core algorithms for interpreting sensor data that enables intelligent driving decisions. You will be developing and applying learning-based algorithms related to sequential prediction, recursive state estimation, and classification for object detection and tracking.

In this role, you will

  • Collaborate with other members of the Perception autonomy team to improve/ideate and implement perception algorithms that power the Aurora Driver

  • Serve as a technical expert for the team on at least one area related to machine learning, with particular focus on computer vision, recursive state estimation, structured prediction, optimization, and others

  • Research and develop state-of-the art deep learning/machine learning models to improve our perception solutions under challenging and diverse scenarios (e.g., on highways and city streets, long-range and multi-sensor object detection, detection under degraded sensors, etc.).

  • Design, prototype and evaluate machine learning algorithms and DNN architectures for detection of traffic actors, their action recognition, and semantic understanding of various traffic scenes that the Aurora Driver encounters.

  • Integrate, test, and deploy production-ready solutions into the production code that powers the Aurora Driver.

Required Qualifications

  • Excellent software engineering skills in Python and/or C++

  • Extensive exp in any deep learning framework, such as PyTorch, JAX, TensorFlow

  • Extensive exp in Computer Vision, Machine Learning, Deep Learning, or other relevant areas of Artificial Intelligence (e.g., as evidenced by industry experience, publication record)

Desirable Qualifications

  • Relevant industry experience (prior work on self-driving vehicles, autonomy, and/or robotics projects)

  • Contributions to open source project(s)

  • Strong track record in any field related to machine learning, as evidenced by top-tier publications

  • Examples of relevant fields and conferences: computer vision (e.g., CVPR, ECCV, ICCV, IJCV), machine learning (e.g., ICML, NeurIPS, JMLR, PAMI), robotics (e.g., RSS, IJRR), graphics (e.g., SIGGRAPH, TOG)



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Principal Software Engineer (Perception - Computer Vision/Machine Learning)