Senior Android Engineer
4 hours ago
**Company**: Qualcomm Vietnam Company Limited, Hanoi Branch Office **Job Area**: Engineering Group, Engineering Group > Machine Learning Engineering **General Summary**: **Job Summary** **Key responsibilities** - AI Integration on Android: Collaborate with AI researchers to deploy machine learning models on Android devices, ensuring efficient and scalable performance. - Tooling & Infrastructure: Build tools and frameworks to support rapid development, testing, and deployment of AI-powered Android apps. - Cross-functional Collaboration: Work with cross-disciplinary teams including AI researchers, UX designers, and system engineers to deliver seamless user experiences. - Documentation & Support: Maintain clear documentation of code, APIs, and workflows to support team collaboration and future development. **Requirements**: **Education & Background** - Bachelor’s, Master’s, or Ph.D. in Computer Science, Software Engineering, or a related field. **Technical Skills** - Proficiency in Kotlin and/or Java for Android development. - Familiarity with Android SDK and modern Android architecture components. - Experience integrating ML models using TensorFlow Lite, ONNX, or Qualcomm’s SNPE. - Understanding of Android performance profiling and debugging tools. - Expert knowledge in designing concurrency and parallelism algorithms - Prior experience with working at low-level of Android such as HAL is a plus. **AI/ML Integration** - Basic understanding of machine learning concepts and ability to work with AI engineers to integrate models. - Experience with on-device model optimization techniques (e.g., quantization, pruning) is a plus. **Soft Skills** - Strong problem-solving and debugging skills. - Excellent communication and collaboration abilities. - Comfortable working in a fast-paced, research-driven environment. **Minimum Qualifications**: - Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. If you would like more information about this role, please contact Qualcomm Careers.
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