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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 at the forefront of neuromorphic computing technologies, dedicated to transforming recent advancements in twistronics and 2D material devices into practical applications.

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

We focus on developing brain-inspired, energy-efficient computing systems that are scalable and capable of real-time learning and adaptation for edge AI solutions.

Our team comprises passionate innovators, researchers, and engineers who are committed to advancing the field of neuromorphic computing.

Role Overview

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

In this role, you will operate at the intersection of innovative materials and sophisticated circuit design, translating these into functional neuromorphic systems. You will collaborate with our team to design, fabricate, and evaluate neuromorphic devices, integrating them into comprehensive chip solutions.

This position presents a unique opportunity to influence the future of AI hardware, utilizing cutting-edge nanofabrication techniques and expanding the horizons of neuromorphic computing.

Key Responsibilities

  • Design and simulate neuromorphic cores and complete chip architectures using industry-standard EDA tools.
  • Develop and refine the fabrication process for neuromorphic devices and arrays, utilizing cleanroom facilities.
  • Create detailed system architectures and block diagrams for neuromorphic SoCs, including the integration of ADCs, DACs, microcontrollers, and memory components.
  • Implement and evaluate signal conditioning circuits, power management systems, and communication interfaces for the neuromorphic chip.
  • Develop and execute comprehensive 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 the publication of scientific papers and patents.

Qualifications

  • PhD in Electrical Engineering, Nanoengineering, or a related discipline, with a robust background in semiconductor device physics and circuit design.
  • Hands-on experience with nanofabrication techniques, particularly EBL, and familiarity with 2D materials and heterostructures is preferred.
  • Proficiency 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.
  • Familiarity with neuromorphic computing principles and spiking neural networks (SNNs) is advantageous.
  • Understanding of machine learning algorithms and their hardware implementation is a plus.
  • Excellent problem-solving abilities and capacity to work at various levels of abstraction, from nanoscale device fabrication to system-level chip design.
  • Strong communication and teamwork skills, with the ability to collaborate effectively in an interdisciplinary environment.

What We Offer

  • Competitive compensation package with a significant equity component.
  • Health, dental, and vision insurance (pending 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.

We are a lean and agile startup team passionate about revolutionizing the field of neuromorphic computing. As an early employee, you will have the unique opportunity to shape the direction of our technology and make a significant impact on the future of AI. We are looking for individuals who thrive in a fast-paced, collaborative environment and are excited about the challenges and rewards of building something groundbreaking from the ground up.

This role is ideal for someone who is excited by the challenge of translating cutting-edge materials science into practical, revolutionary computing hardware. You will have the opportunity to work at the forefront of neuromorphic computing, potentially reshaping the landscape of AI hardware. If you are passionate about innovation, have a knack for solving complex technical problems, and want to make a lasting impact on the future of computing, we encourage you to apply and join us on this exciting journey.