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Senior Engineer, Computer Vision/Machine Learning Semantic Mapping/30864 - Protingent, Inc.

Remote · USA Full-time New today

Job Qualifications

  • Masters or PhD in  Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field.
  • 3+ years of experience shipping production software in robotics / graphics / mapping which cover topics in SLAM, geometric computer vision, point cloud processing and/or scene reconstruction.
  • Strong C++ or Python software engineering and algorithm skills including software design, source control management, build processes, code reviews, testing methods.   .
  • Deep understanding of CV/ML techniques, particularly integrating ML modules in production.
  • Ability to communicate and collaborate across multiple teams, researchers and engineers.
  • Strong problem-solving skills and ability to learn.
  • Bachelor's or higher degree in Engineering, such as Computer Science, Software Engineering, Robotics, or equivalent knowledge and work experience

Preferred Qualifications

  • Experience with large-scale data processing and backend distributed systems.
  • Experience in cloud technologies and building/maintaining a cloud service and databases is desired

Job Responsibilities

  • Design and implement automated semantic mapping solutions from ground up, taking ownership of complex challenges.
  • Work with point cloud, image, and other sensor data to aid in semantic mapping by applying state-of-the-art methods and techniques.
  • Develop and deploy scalable and efficient software in the cloud.
  • Collaborate with  internal teams that focus on HD mapping and CV/ML models (e.g. SLAM, segmentation networks, object detection networks) to improve our semantic maps.
  • Understand how the maps are consumed and design metrics and tools to evaluate and validate our automated annotations
  • Prioritize safety above all else in designing and implementing software solutions, ensuring the highest standards of safety in our autonomous driving efforts.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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  • Dice Id: 10109132
  • Position Id: 30826
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