Embedded Software Engineer - Low Power AI
United States Digital Space
Advance your career at Canada ULC as an Embedded Software Engineer specializing in low-power AI solutions. Leverage your skills in machine learning model integration and C/C++ programming to drive impactful projects. Canada ULC is searching for an Embedded Software Engineer to join the Low Power AI solution team. You'll be responsible for deploying AI models efficiently while collaborating with cross-functional teams to optimize execution paths and memory management. This role requires a PhD in a related field and a deep understanding of embedded system design and performance optimization. Key Responsibilities:
- Develop core components for machine learning runtime in embedded AI
- Collaborate on AI workload execution path designs
- Implement runtime kernels through C/C++ programming
- Create tools to analyze quantized model performance
- Optimize runtime efficiency using profiling tools
- PhD and 2+ years of engineering experience
- Expertise in optimizing embedded systems performance
- Familiarity with Linux/Android and hardware interaction
- Knowledge of AI frameworks and optimization techniques
- Basic understanding of machine learning concepts
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