
Cloud and Edge Engineer
1 day ago
Kodifly is a rapidly evolving company based in Hong Kong Science Park, with initiatives like HKAI Lab and the Nvidia Inception program backing our growth. We specialize in pioneering technologies such as 3D point cloud processing, digital twin creation, and LiDAR technology. Our goal is to provide real-time, actionable insights that enhance the safety, efficiency, and sustainability of infrastructure projects.
We are currently seeking a Lead Software Engineer with a focus on Computer Vision to join our team. This role offers a unique opportunity to work on real-world applications of AI and computer vision, contributing directly to the innovation and effectiveness of our SpatialSense product.
The ideal candidate will have the following qualifications:
- Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field.
- 5+ years of relevant prior experience.
- Prior experience in leading teams.
- Proficiency in creating applications for the cloud and edge.
- Solid understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and associated services.
- Familiarity with edge computing concepts and technologies, such as CDN, caching, and edge caching.
- Prior DevOps experience.
- Experience with ROS software and methodologies is a plus.
- Proficient in programming languages such as C++, Python, or similar.
- Strong understanding of software development principles, practices, and methodologies.
- Experience with backend software development frameworks and libraries.
- Familiarity with version control systems (e.g., Git) and collaborative development tools (e.g., Jira, Confluence).
- Knowledge of relational and non-relational databases and database design principles.
- Solid understanding of data structures, algorithms, and object-oriented programming concepts.
- Experience with unit testing and integration testing frameworks.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Ability to work independently and effectively in a team environment.
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