Senior Software Engineer

Responsibilities

• Develop and optimize Embedded ML inference engines for microcontrollers.
• Train and fine-tune machine learning models using LLM, TensorFlow and/or PyTorch to be deployed on resource-constrained devices.
• Implement and experiment with techniques to improve model performance on low-power and memory-limited devices.
• Collaborate with cross-functional teams to integrate ML solutions into embedded systems.
• Conduct research on new machine learning techniques and tools specifically for Embedded ML applications.
• Optimize machine learning algorithms to meet the performance and resource constraints of embedded systems.
• Stay up-to-date with the latest advancements in Embedded ML by reading and interpreting technical articles and research papers.

Requirements

• Master's degree in Computer Science, Electrical Engineering, or a related field.
• Strong experience with LLM, TensorFlow and/or PyTorch for model training and deployment.
• Proficiency in programming languages such as C, C++, and Python.
• Extensive experience in embedded software development and machine learning.
• Excellent programming skills in at least one of the following: C, C++, or Python.

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Company Intel

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