Embedded AI Engineer
You will play a pivotal role in advancing Code Fusion Studio - our integrated development environment on embedded platforms. As an expert in AI/ML engineering, you will collaborate with researchers to integrate novel machine learning algorithms and data processing pipelines into the IDE.
Key Responsibilities:
* Cross-Functional Collaboration: Collaborate with machine learning researchers to integrate cutting-edge ML algorithms and data processing pipelines into Code Fusion Studio.
* Software Tool Development: Design and implement robust software tools, plug-ins, and compilers within the IDE to streamline AI model deployment and performance optimization across embedded platforms.
* Strategic Planning: Play a central role in shaping the strategy and architecture for quality assurance, developer experience, and long-term maintainability of embedded AI toolchains.
Required Skills and Qualifications:
* Software Development Expertise: Experience developing software tools and frameworks for embedded AI workflows.
* Machine Learning Background: Background in machine learning algorithms (CNN, DNN) and experience deploying them on embedded systems.
* Model Optimization Techniques: Familiarity with model optimization techniques (quantization, pruning, compilation) and deployment pipelines for embedded AI.