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Senior Software Engineer (Perception)

Aurora · Mountain View, CA, United States

External listingfull-time26 days ago

About The Role

Join our autonomous driving team as a Senior Software Engineer, Perception. In this role, you will develop and optimize core perception solutions, tackle end-to-end autonomy challenges, deploy production-ready software, collaborate with team members, and scale ML engineering pipelines. You should have a strong background in machine learning, computer vision, and robotics, with at least 6 years of experience in C++ and Python.

  • Collaborer avec des équipes d'ingénierie interfonctionnelles pour concevoir et déployer des modèles d'apprentissage automatique de pointe sur la plateforme de véhicule en temps réel.
  • Rechercher et développer des modèles d'apprentissage profond et d'apprentissage automatique pour améliorer la perception dans des scénarios difficiles.
  • Guider le développement logiciel depuis le prototype initial jusqu'au déploiement en production sur une plateforme AV en temps réel.
  • Strong publication record at top-tier robotics/computer vision conferences/journals, or significant industry experience in relevant fields (robotics, computer vision, self-driving technology)
  • BS, MS, or PhD in Computer Science, Robotics, Engineering, or a related field with a strong foundation in one or more focus areas of ML, including deep learning, computer vision, recursive state estimation, structured prediction, and optimization
  • Comprehensive grasp of linear algebra, discrete/continuous optimization, supervised/unsupervised methods, and generative/discriminative models
  • 6+ years of research-based or professional experience with C++ and Python
  • Experience working with 3D data, including 3D object detection, tracking, semantic segmentation, or processing point clouds from LiDAR, Radar, and multi-camera system
  • Proven ability to work effectively in environments requiring close cross-team collaboration
  • Experience deploying computer vision/ML models at scale across large physical fleets
  • Prior experience applying computer vision and machine learning directly to complex robotics problems
  • Advanced production-level knowledge of C++ is highly preferred
  • Experience utilizing deep learning frameworks such as PyTorch or TensorFlow

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