Senior Engineer, Computer Vision/Machine Learning Semantic Mapping
Full-time
Senior Executive
2 days ago
Mission Summary:
We are actively seeking an exceptional Computer Vision / Machine Learning (CV/ML) Software Engineer to design and develop cutting-edg..
Mission Summary:
We are actively seeking an exceptional Computer Vision / Machine Learning (CV/ML) Software Engineer to design and develop cutting-edge systems and software for our current and future autonomous driving efforts. As a member of the Localization, Mapping and Calibration (LMC) organization, you will play a critical role in architecting and developing automated semantic annotations and map change detection. This is an exciting opportunity to have a direct impact on the company’s goals by solving technical problems which allow us to scale production maps to meet the needs of commercial operations.
What You'll Be Doing
- 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.
What We're Looking For
- 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.
Bonus Points (not required)
- Experience with large-scale data processing and backend distributed systems.
- Experience in cloud technologies and building/maintaining a cloud service and databases is desired
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