Neuromorphic AI Research Intern

Intel Corporation; Región Centro; Presencial; MXN 167.000 - 290.000; A tiempo parcial

Descripción de la vacante

Intel Corporation in Mexico is seeking a student/intern to demonstrate the value of neuromorphic technologies by developing, implementing and benchmarking algorithms for the next-generation neuromorphic architecture. You will work on edge computing, signal processing and autonomous systems with emphasis on performance and efficiency.

The role requires MSc/PhD enrollment and hands-on experience with Python, C++, and ML frameworks, plus collaboration across teams under the CTO Office.

Formación

• Enrolled in an MSc or PhD program in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Physics, or a related field.
• 3+ years of experience writing clean, efficient and modular Python and C++ code.
• 2+ years of experience with deep/machine learning, mathematical optimization, and AI frameworks (PyTorch, JAX, TensorFlow).
• 1+ years of experience developing AI models for perception, reasoning, and control (e.g., YOLO, LLMs, or VLAs based on transformer or SSM architectures).
• 1+ years of experience with software development best practices (OO design, testing, debugging, documentation, version control, code reviews).
• Intermediate to Advanced English level
• Must have unrestricted - permanent right to work in Mexico (this position is not eligible for employment-based visa/immigration sponsorship).

Responsabilidades

• Support the development and benchmarking of applications on Intel's next-generation neuromorphic architecture.
• Author and publish results in top-tier conferences/journals.
• Contribute to Intel's neuromorphic SDK with documentation, code reviews, and continuous improvement of software processes.

Conocimientos

Python

C++

Deep learning

ML frameworks

Educación

MSc/PhD program in CS/CE/EE/Robotics/Physics

Herramientas

PyTorch

JAX

TensorFlow

Descripción del empleo

Intel Corporation in Mexico is seeking a student/intern to demonstrate the value of neuromorphic technologies by developing, implementing and benchmarking algorithms for the next-generation neuromorphic architecture. You will work on edge computing, signal processing and autonomous systems with emphasis on performance and efficiency.

The role requires MSc/PhD enrollment and hands-on experience with Python, C++, and ML frameworks, plus collaboration across teams under the CTO Office.