Software Engineer - Edge AI
NXP Semiconductors9 hours ago
Beijing, ChinaSenior
Responsibilities
- Develop and optimize Embedded ML inference engines for microcontrollers.
- Train and fine-tune machine learning models using TensorFlow and PyTorch for resource-constrained devices.
- Optimize machine learning algorithms and models for low-power, low-latency, and memory-limited embedded systems.
- Integrate ML solutions into embedded systems with cross-functional teams.
- Research new machine learning techniques and tools for Embedded ML applications.
- Read and interpret technical articles and research papers related to Embedded ML.
Requirements
- Bachelor’s or master’s degree in Computer Science, Electrical Engineering, or a related field.
- Strong experience with TensorFlow and PyTorch for model training and deployment.
- Proficiency in C, C++, and Python, with excellent programming ability in at least one of these languages.
- Extensive experience in embedded software development and machine learning.
- Ability to read and understand technical articles and research papers in English.
- Strong problem-solving, attention to detail, communication, and collaboration skills.
- Preferred qualifications include deploying ML models to embedded devices, familiarity with microcontrollers and RTOS, and expertise in optimization for low-power and low-latency ML models.
- Working knowledge of the NXP MCU SDK is a strong plus.
- Experience coordinating project deliverables and communicating with global teams across time zones is a plus.
Categories
About NXP Semiconductors
NXP Semiconductors designs and supplies microcontrollers, application processors (i.MX), analog/RF, secure connectivity, and automotive chips for OEMs in automotive, industrial/IoT, mobile, and communications infrastructure markets. A public company (NASDAQ: NXPI) founded in 2006 and headquartered in Eindhoven, it sells silicon, software, and reference designs, and supports customers with BSPs and development tools. Notable lines include i.MX processors, S32 automotive platforms, NFC and secure elements, radar, and power management devices.