Senior Engineer, Computer Vision/Machine Learning Semantic Mapping/30864 - Protingent, Inc.
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.
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Report this job- Dice Id: 10109132
- Position Id: 30826