Project Overview

Are you fascinated by the incredible capabilities of the human brain and eager to explore how they can be translated into cutting-edge technology? If so, we invite you to join our team as a Neuromorphic Hardware Development & Testing Intern. This internship offers a unique opportunity to work on groundbreaking research in the field of neuromorphic hardware, where we aim to develop electronics that mimic the remarkable computational abilities of the human brain, all while consuming significantly less power.

Project Background

In today's technology-driven world, neural networks and artificial intelligence have become integral to various applications, from language models like Chat-GPT to object detection and pattern recognition systems. However, these applications often demand substantial computational power and energy resources. Our project focuses on revolutionizing the hardware behind these neural networks to achieve substantial power savings while maintaining or even enhancing their performance.

Key Responsibilities

Collaborate with our team of researchers and engineers to design, develop, and test neuromorphic hardware solutions.
Explore innovative electronics and hardware architectures inspired by the human brain to optimize power efficiency.
Conduct experiments, simulations, and prototyping to evaluate the performance of neuromorphic hardware designs.
Benchmark hardware solutions towards representative use cases, such as object detection of the MNIST handwritten data set.
Analyze and interpret data from experiments to optimize hardware designs.
Stay up to date with the latest advancements in neuromorphic computing and contribute fresh ideas to the team.

Qualifications

Pursuing a degree in Electrical Engineering, Computer Science, Chemical Engineering, or a related field.
Strong interest in neuromorphic hardware development and its potential applications.
Familiarity with hardware design principles and circuit design.
Proficiency in programming languages such as MATLAB, Python, C/C++, or Verilog.
Excellent problem-solving skills and the ability to work independently and as part of a team. Eagerness to learn and adapt to new challenges in the field of neuromorphic computing.

This internship provides a unique opportunity to be at the forefront of neuromorphic hardware development, working on projects that have the potential to reshape the landscape of artificial intelligence and computing. Join us in our quest to make intelligent systems more energy-efficient and environmentally sustainable.

Apply here