IOS Mobile application Developer

Job Description

Job Title: IOS Mobile Application Developer Location: Hyderabad Role: We are seeking a highly skilled iOS Developer to lead the development of a native iPhone application for intelligent IP camera configuration, video streaming, AI-driven object detection/classification, and real-time augmented overlays. You will work closely with our hardware and AI teams to deliver a cutting-edge mobile solution that integrates video, geolocation, and on-device AI inference. Key Responsibilities: Develop a native iOS app to connect and configure IP camera over factory default Wi-Fi settings (hotspot mode). Enable RTSP streaming from the camera and display live video feed on the iPhone. Implement video recording functionality with dynamic folder selection and clip segmentation (5-minute duration). Integrate GPS module to geotag each video clip with the latest detected coordinates. Provide options for cloud sync to Google Drive and iCloud Drive . Deploy and optimize AI models (object detection and classification) using iPhones GPU/NPU (CoreML/Metal) . Integrate a proprietary depth-sensing algorithm and overlay depth + object classification on the live video using alpha channels. Implement support for over-the-air app updates via App Store deployment. Provide support for downloading camera firmware SDKs, applying patches, and updating camera firmware securely through the app. Required Skills and Qualifications: 5+ years of iOS app development experience using Swift and Objective-C . Strong experience with AVFoundation , RTSP streaming , and video recording workflows. Proven expertise in CoreML , Metal , or TensorFlow Lite for iOS . Experience integrating GPS and geotagging capabilities. Solid understanding of cloud storage APIs like Google Drive and iCloud Drive. Familiarity with iOS background processing , file handling, and camera SDK integration. Strong UI/UX skills to render overlays (e.g., bounding boxes, labels, depth info) on real-time video. Experience publishing apps to the App Store and handling OTA updates. Knowledge of firmware update pipelines or SDK patching is a strong plus. Preferred Qualifications: Experience with on-device AI model inference optimization. Familiarity with OpenCV , Core Location , SwiftUI , or ARKit is a plus. Prior experience with IoT/embedded camera systems and firmware integration. Ability to write modular, testable, and scalable code.