2026 Campus - Embedded Machine Learning Engineer

NXP Semiconductors, a global leader in secure connectivity solutions for embedded applications, is seeking a Campus Embedded Machine Learning Engineer to join their team in Beijing. This role represents an exciting opportunity for recent graduates to work at the intersection of machine learning and embedded systems.

The position involves developing and optimizing machine learning solutions for resource-constrained environments, specifically focusing on microcontrollers and embedded systems. You'll be working with cutting-edge technologies like TensorFlow and PyTorch to train and deploy models that need to perform efficiently under strict hardware limitations.

As part of NXP's team, you'll be contributing to innovations that advance various sectors including automotive, industrial IoT, mobile, and communication infrastructure. The role offers a perfect blend of theoretical machine learning knowledge and practical embedded systems implementation, making it ideal for someone passionate about both fields.

The company provides a strong foundation for career growth through both online and offline learning opportunities. NXP's commitment to sustainability and inclusive work environment ensures you'll be part of an organization that values both technological advancement and social responsibility.

This role would be particularly suitable for candidates who have a strong foundation in computer science or electrical engineering, are passionate about machine learning, and are excited about the challenges of implementing ML solutions in embedded systems. You'll have the opportunity to work with cross-functional teams, conduct research on new ML techniques, and stay at the forefront of embedded ML technology.