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  • Plus 2

    Munich

    • Plus is a global provider of highly automated driving and fully autonomous driving solutions with headquarters in Silicon Valley, California. Named by Forbes as one of America’s Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus’s open autonomy technology platform is already powering vehicles in commercial use today. Working with one of the largest companies in the U.S., vehicle manufacturers, and others globally, Plus is helping to make driving safer, more comfortable, and more sustainable. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Forbes, Insider, Consumer Electronics Show, AUVSI, and others. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

    Responsibilities
  • Work with end-to-end system engineers to help design high performance and high availability distributed systems
  • Apply cutting-edge computational geometry, image processing, computer vision and machine learning to tackle the long tail of real-world situations
  • Build machine learning models to detect/classify objects, and integrate the ML components into the production perception pipeline

    • Required Skills
  • Experience in implementing robust, safety-critical code, efficient in Python or C++
  • Currently pursuing MS or PhD in CS, EE, or related field
  • Deep understanding of machine learning principles and methodologies
  • Experience applying and tuning deep neural networks in large-scale, data-driven applications
  • Strong familiarity with state-of-the-art machine learning tools, computational geometry, image processing, and computer vision features and techniques

    • Preferred Skills
  • Past experiences in motion tracking, semantic segmentation, object recognition and/or robotics
  • Experience working with autonomous vehicles



    • Your opportunities joining Plus
    Work, learn and grow in a highly future-oriented, innovative and dynamic field.
    Wide range of opportunities for personal and professional development.

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