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 for deployment 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 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
• Proven ability to read and understand technical research papers in English
• Strong problem-solving skills and ability to work collaboratively in a team environment

Preferred Qualifications

• Proven experience deploying machine learning models specifically to embedded devices
• Familiarity with microcontrollers and real-time operating systems (RTOS)
• Deep understanding of the software development life cycle and best practices for embedded systems
• Expertise in optimization techniques for low-power and low-latency machine learning models

About the Company

NXP Semiconductors enables a smarter, safer, and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP pushes boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.