Modeling, Simulation, and Demonstration
Twistient Corp. is an early-stage startup pioneering the development of neuromorphic computing technologies and commercializing recent advancements in twistronics and 2D material devices. Our mission is to pioneer a new computing architecture paradigm designed for the artificial intelligence era. Our primary focus is creating brain-inspired, biorealistic computing systems that are energy-efficient, scalable, and capable of learning and adapting in real-time. We are a team of passionate innovators, researchers, and engineers committed to pushing the boundaries of what's possible with neuromorphic computing.
We are seeking a talented and driven Neuromorphic Systems Engineer to join our team and lead the modeling, simulation, and demonstration of our neuromorphic computing systems. In this role, you will work closely with our Neuromorphic Device Engineer to develop mathematical models and system-level simulations of our devices and circuits, design and implement control systems and interfaces for our neuromorphic testbeds, and conduct benchmarking experiments to measure the performance of our systems. You will have the opportunity to work on the development of a groundbreaking technology that has the potential to transform computing as we know it and pave the way for artificial intelligence that benefits all human beings.
Develop mathematical models and system-level simulations of neuromorphic devices and circuits using Python, MATLAB, or similar tools.
Design and implement the control system and interface for the neuromorphic testbeds, including PCB design, FPGA programming, and firmware development.
Conduct neuromorphic benchmarking experiments to measure the energy efficiency, speed, and accuracy of our systems.
Collaborate with the Neuromorphic Device Engineer to optimize the device and system design based on the experimental results.
Create demonstration setups and application notes showcasing the capabilities and advantages of our neuromorphic computing solutions.
Contribute to the development of intellectual property (IP) and the publication of scientific papers and patents.
PhD or MSc in Electrical Engineering, Computer Engineering, or a related field, with a strong background in neuromorphic computing and hardware-software co-design.
Experience with circuit simulation tools (e.g., SPICE), PCB design software (e.g., Altium), and FPGA development platforms (e.g., Xilinx, Intel).
Familiarity with twistronics and 2D material-based devices is a plus.
Proficiency in Python, MATLAB, C/C++, and hardware description languages (e.g., VHDL, Verilog).
Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch) for benchmarking and demonstration purposes.
Strong communication and presentation skills, with the ability to collaborate effectively with both internal and external stakeholders.
At Twistient Corp., we understand the importance of balancing work with academic and research commitments. If you have the talent, passion, and drive to contribute to our mission but require a non-traditional work arrangement, we encourage you to apply and discuss your needs with us.
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 not afraid to roll up their sleeves, take ownership of their work, and adapt to the ever-changing needs of a startup. In return, you will have the chance to work with cutting-edge technologies, learn from a talented and supportive team, and grow your skills and career in ways that may not be possible in a more traditional setting. If you are a self-starter with a passion for innovation and a desire to make a real difference, we encourage you to apply and join us on this exciting journey.
