Lead the development and optimization of embedded AI software and runtime systems for Qualcomm edge devices. Design and profile machine learning frameworks, inference tools, compilers, and agentic AI solutions, translating research into production-ready technologies while collaborating across hardware, software, and research teams.
Responsibilities
- Lead development of embedded AI software and runtime systems for neural networks on Qualcomm hardware.
- Design, debug, profile, and optimize ML frameworks, runtime software, model efficiency tools, compilers, and inference.
- Prototype AI and agentic software solutions and translate research into production-ready technologies.
- Guide machine learning solution design, implementation, training, evaluation, and deployment.
- Improve ML software stack performance and power efficiency through hardware-software co-design.
- Coordinate technical direction across teams, mentor engineers, and drive strategic AI initiatives.
Required Skills
- C/C++Python
- Embedded AI software development
- Machine learning frameworks
- AI runtime software
- Machine learning inference optimization
- Compiler technologies
- Linux
- Android
- QNX