Description

You will lead the development of a native iPhone application for IP camera configuration, video streaming, and on-device AI inference.

Responsibilities

• Build a native iOS app to configure IP cameras via hotspot mode and enable RTSP live streaming.
• Implement video recording with clip segmentation, dynamic folder selection, and GPS geotagging.
• Deploy and optimize AI models for object detection and classification using CoreML or Metal.
• Integrate depth-sensing algorithms to overlay data on live video feeds using alpha channels.
• Manage camera firmware updates, SDK patching, and cloud synchronization with Google Drive and iCloud.

Required Skills

• 5+ years of iOS development experience using Swift and Objective-C.
• Deep expertise with AVFoundation, RTSP streaming, and video recording workflows.
• Hands-on experience with CoreML, Metal, or TensorFlow Lite for iOS.
• Proficiency in Swift, Core Animation, Core Graphics, and Core Text.
• Experience integrating GPS, Core Location, and cloud storage APIs (Google Drive, iCloud).
• Knowledge of iOS background processing, file handling, and camera SDK integration.
• Strong UI/UX skills for rendering real-time video overlays like bounding boxes and labels.
• Proven track record of publishing apps to the App Store and managing OTA updates.
• Competency with Git, RESTful APIs, Core Data, and Agile methodologies.

Preferred Skills

• Experience with OpenCV, SwiftUI, or ARKit.
• Background in IoT, embedded camera systems, or firmware integration.
• Ability to write modular, testable, and scalable code.

Key Skills

Education

Any Gradute