
AI/Machine Learning Developer
2 weeks ago
We are seeking a highly skilled Embedded AI/ML Engineer to develop software tools and frameworks for embedded AI workflows.
As an Embedded AI/ML Engineer, you will work on advancing Code Fusion Studio, our integrated development environment on embedded platforms.
Key Responsibilities:
- Developing software tools and frameworks for embedded AI workflows.
- Collaborating with machine learning researchers to integrate novel ML algorithms and data processing pipelines into Code Fusion Studio.
- Designing and implementing robust software tools, plug-ins, and compilers within the IDE.
- Shaping the strategy and architecture for quality assurance, developer experience, and long-term maintainability of embedded AI toolchains.
Requirements:
- Experience developing software tools and frameworks for embedded AI workflows.
- Background in machine learning algorithms (CNN, DNN) and experience deploying them on embedded systems.
- Familiarity with model optimization techniques (quantization, pruning, compilation) and deployment pipelines for embedded AI.
- Proficient in C/C++ programming.
- Python is essential; JavaScript experience is a plus.
Preferred Qualifications:
- Experience developing extensions or plugins for Visual Studio Code.
- Familiarity with Zephyr, FreeRTOS or other embedded operating systems.
- Familiarity with Xtensa architecture and toolchains.
- Solid understanding of ARM Cortex-M architecture and associated toolchains.
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