Senior Engineer, Computer Vision/Machine Learning Semantic Mapping/30864

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.