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Neuromorphic Circuit Designer

2 months ago

Atlanta, Georgia, United States Twistient Corp. Full time

About Twistient Corp.

Twistient Corp. is a pioneering startup focused on advancing neuromorphic computing technologies and commercializing innovations in twistronics and 2D material devices.

Our vision is to redefine computing architectures for the artificial intelligence age.

We aim to develop brain-inspired, energy-efficient computing systems that are scalable and capable of real-time learning and adaptation for edge AI applications.

Our team consists of dedicated innovators, researchers, and engineers who are committed to exploring the frontiers of neuromorphic computing.

Role Overview

We are looking for a talented and forward-thinking Neuromorphic Hardware Engineer to spearhead the creation of our advanced neuromorphic chip prototype.

In this position, you will engage in the convergence of novel materials and sophisticated circuit design, transforming these concepts into operational neuromorphic systems. You will work collaboratively to design, fabricate, and evaluate neuromorphic devices, integrating them into comprehensive chip solutions.

This role presents a remarkable opportunity to influence the future of AI hardware, utilizing cutting-edge nanofabrication techniques and advancing the field of neuromorphic computing.

Key Responsibilities

  • Design and simulate neuromorphic cores and comprehensive chip architectures using industry-standard EDA tools.
  • Refine and enhance the fabrication processes for neuromorphic devices and arrays, operating within cleanroom environments.
  • Develop detailed system architectures and block diagrams for neuromorphic SoCs, incorporating ADCs, DACs, microcontrollers, and memory components.
  • Implement and assess signal conditioning circuits, power management systems, and communication interfaces for the neuromorphic chip.
  • Formulate and execute thorough testing plans to validate the functionality and performance of fabricated chips.
  • Collaborate with the Materials Engineer to enhance device performance and with the Systems Engineer to ensure hardware compatibility with required neuromorphic algorithms.
  • Contribute to the development of intellectual property (IP) and participate in the publication of scientific papers and patents.

Qualifications

  • PhD in Electrical Engineering, Nanoengineering, or a related discipline, with a robust foundation in semiconductor device physics and circuit design.
  • Practical experience with nanofabrication techniques, particularly EBL, and familiarity with 2D materials and heterostructures is preferred.
  • Proficient in hardware description languages (VHDL/Verilog) and circuit simulation tools (e.g., Cadence Virtuoso, Synopsys Design Compiler).
  • Experience with FPGA programming and embedded systems design.
  • Understanding of neuromorphic computing principles and spiking neural networks (SNNs) is advantageous.
  • Familiarity with machine learning algorithms and their hardware implementation is a plus.
  • Exceptional problem-solving abilities and capacity to operate at various levels of abstraction, from nanoscale device fabrication to system-level chip design.
  • Strong communication and teamwork skills, with the capability to collaborate effectively in an interdisciplinary setting.

What We Provide

  • Competitive compensation package with a significant equity component.
  • Health, dental, and vision insurance (subject to company growth and funding).
  • Flexible work hours and vacation policy.
  • Opportunities for professional growth and development.
  • A dynamic and inclusive startup culture that values innovation, creativity, and collaboration.

As a lean and agile startup, we are passionate about transforming the field of neuromorphic computing. As an early employee, you will have the unique opportunity to influence the trajectory of our technology and make a significant impact on the future of AI. We seek individuals who thrive in a fast-paced, collaborative environment and are eager to tackle the challenges and rewards of building groundbreaking solutions from the ground up.

This role is ideal for someone excited by the challenge of translating cutting-edge materials science into practical, revolutionary computing hardware. You will have the chance to work at the forefront of neuromorphic computing, potentially reshaping the landscape of AI hardware. If you are passionate about innovation, possess a talent for solving complex technical challenges, and wish to make a lasting impact on the future of computing, we encourage you to consider this opportunity.