Low Power AI Embedded Systems Engineer
United States Digital Space LLC
Elevate your career with the company Canada ULC as an Embedded Software Engineer focused on low-power AI solutions. Ideal for professionals skilled in machine learning model integration. As a member of our Low Power AI solution team, you will be responsible for deploying AI models efficiently. This role requires deep knowledge of C/C++ programming and embedded system design. Collaborate across teams to ensure optimized execution paths and memory management within our AI hardware architecture. Key Responsibilities:
- Develop core components of ML runtime for embedded AI tasks
- Partner with teams to co-design AI workload execution paths
- Implement runtime kernels through C/C++ development
- Create profiling tools for analyzing quantized model performance
- Enhance runtime efficiency using profiling tools and counters
- PhD in related fields with 2+ years of engineering experience
- Expert in performance optimization for embedded systems
- Familiar with Linux/Android and embedded hardware interactions
- Knowledge of AI framework deployment and optimization techniques
- Basic understanding of machine learning concepts and model structures
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