Neuromorphic Circuit Designer

1 week 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 two-dimensional material devices.

Our vision is to establish a transformative computing architecture tailored for the artificial intelligence age.

We concentrate on developing brain-inspired, biologically realistic computing systems that prioritize energy efficiency, scalability, and real-time learning capabilities for edge AI applications.

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

Role Overview

We are in search of a creative and proficient Neuromorphic Hardware Engineer to spearhead the creation of our state-of-the-art neuromorphic chip prototype.

In this position, you will engage at the crossroads of novel materials and sophisticated circuit design, translating these concepts into operational neuromorphic systems. You will collaborate with our team to design, fabricate, and evaluate neuromorphic devices, integrating them into comprehensive chip solutions.

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

Responsibilities

  • Design and simulate neuromorphic cores and comprehensive chip architectures utilizing industry-standard EDA tools.
  • Refine and enhance the fabrication process for neuromorphic devices and arrays 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 produced chips.
  • Collaborate with the Materials Engineer to enhance device performance and with the Systems Engineer to ensure hardware aligns with necessary 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 foundation in semiconductor device physics and circuit design.
  • Practical experience with nanofabrication techniques, particularly EBL, along with familiarity with 2D materials and heterostructures is preferred.
  • Expertise 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.
  • Knowledge of machine learning algorithms and their hardware implementation is a plus.
  • Exceptional problem-solving abilities and capacity to work across 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 setting.

Benefits

  • 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 team, we are passionate about transforming the field of neuromorphic computing. Being an early employee offers a unique chance 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 those 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, possess a talent for solving complex technical challenges, and aspire to make a lasting impact on the future of computing, we encourage you to consider this opportunity.

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