PhD Internship – AI Processor Architecture for Edge Applications

Responsibilities

• Research AI processor architectures for edge applications in robotics, automotive (ADAS), and industrial automation
• Contribute to the development of heterogeneous accelerator architectures
• Work on the co-design of hardware, software, and tools for real-time, safety-critical systems
• Explore domain-specific compiler and runtime support for physical AI workloads
• Integrate sensor fusion and perception algorithms into custom accelerators
• Collaborate with PhD-level engineers, Technical Directors, and NXP Fellows

Requirements

• Currently enrolled PhD student in Computer Engineering, Electrical Engineering, or a related field
• Enrolled in a university that supports PhD internships
• Strong interest in real-time systems, embedded AI, and heterogeneous computing
• Experience with hardware design (e.g., RTL, HLS, FPGA, ASIC)

Preferred Qualifications

• Familiarity with AI workloads in physical or embedded systems

Benefits

• Work in a collaborative, research-driven environment
• Access to cutting-edge tools and real silicon
• Support for academic publishing and conference participation
• Opportunity to contribute to products with global reach

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.