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 for 2026. This role represents an exciting opportunity to join a company at the forefront of semiconductor innovation, particularly in the realms of automotive, industrial IoT, and mobile communications.

The position focuses on developing and optimizing machine learning solutions for embedded systems and microcontrollers, combining the cutting-edge fields of ML and embedded systems. As an Embedded ML Engineer, you'll work on implementing efficient inference engines, training models with TensorFlow and PyTorch, and optimizing them for resource-constrained environments.

This role is perfect for recent graduates or soon-to-be graduates with a strong foundation in computer science or electrical engineering, particularly those passionate about machine learning and embedded systems. You'll be part of a company that values innovation, sustainability, and inclusive work culture, with opportunities for professional development and learning.

Working at NXP means contributing to solutions that advance a more sustainable future while developing your career through various online and offline learning opportunities. The company offers a collaborative environment where you'll work with cross-functional teams and stay at the forefront of technological advancement in embedded ML applications.