- Expérience
- 4 ans et plus
- Salaire
- —
- Ouvertures
- 1
- Publié
- il y a 3 heures
- Mode de travail
- Au bureau
- CV
- Candidature requise
Votre lieu de travail
Description de l'emploi
About the Role
We are seeking a seasoned Embedded Software Engineer specializing in Android platforms to develop highly specialized, real-time, medical-grade software for AR-assisted surgical procedures. This position focuses on embedded Android development combined with advanced computer vision integration and requires expertise in JNI/NDK and real-time camera handling for hands-free surgical workflows.
Key Responsibilities
- Design and develop embedded Android applications tailored for augmented reality devices.
- Implement and optimize real-time video processing pipelines using the Camera2 API.
- Integrate native C++ computer vision libraries via JNI and NDK frameworks.
- Build and manage state machines coordinating surgical workflows.
- Develop hands-free control systems leveraging gesture recognition and sensor inputs.
- Ensure low-latency rendering and processing for wearable AR systems.
- Create reliable, medical-grade software with robust crash recovery capabilities.
- Develop augmented reality navigation tools used during live surgical operations.
Technical Environment
- Android 13 operating system running on ARM64 architecture.
- Java programming with JNI and C++ integration.
- Expertise in Camera2 API for camera stream processing.
- Utilization of OpenCV for computer vision features.
- Development within Gradle and Android Studio environments.
- Focus on embedded Android and real-time wearable device architectures.
Candidate Profile
- Minimum of 4 years experience in Android software development.
- In-depth knowledge of Camera2 API (excluding CameraX).
- Proficient with JNI and NDK for native integration.
- Previous experience with embedded Android or wearable technology is preferred.
- Strong problem-solving skills applied to complex real-time software challenges.
Additional Advantages
- Experience developing for AR or smart glasses platforms.
- Familiarity with OpenGL ES graphics programming.
- Exposure to OpenCV and computer vision methodologies.
- Background in medical device software development.
- Experience working with platforms such as Vuzix or RealWear.
Unique Opportunity
This role transcends traditional mobile app creation, offering the chance to work at the convergence of augmented reality, embedded Android, computer vision, surgical navigation, and healthcare robotics. The work directly influences the advancement of surgical technologies and patient care innovation.