
11 - 50 employees
🤖 Artificial Intelligence
🔧 Hardware
⚡ Energy
Artificial Intelligence • Hardware • Energy
Unconventional AI is rethinking the foundations of a computer to optimize energy efficiency for AI. Founded by experts in AI systems, analog circuits, computing theory, and neuroscience, the company aims to bring biology-scale efficiency to artificial intelligence by redesigning computing architecture and hardware to reduce power consumption for AI workloads.
Selected: 🇺🇸 United States – Remote USA.
Selected: 🆕 Date Added.
🕒 October 1
Physical Design Engineer owning RTL-to-GDSII implementation and sign-off. Building 1000x more efficient AI computing hardware at Unconventional.
🕒 October 1
Analog CAD Engineer configuring EDA tools, PDKs, and verification flows for Unconventional’s energy-efficient AI hardware. Developing AI-assisted workflows and supporting analog chip tapeout.
🕒 October 1
DFT Engineer developing scan, MBIST, ATPG, and mixed-signal test architectures. Improving testability, yield, and PPA for Unconventional’s energy-efficient AI semiconductor platform.
🕒 July 27
Foundational role in R&D for a new computing platform at Unconventional, Inc. Seeking exceptional problem-solvers at the intersection of AI, physics, and computer architecture.
🕒 July 27
Member of Technical Staff developing training techniques and optimization strategies for AI systems. Working to run AI models efficiently on novel compute substrates with advanced hardware mapping.
🕒 July 27
Member of Technical Staff developing foundational language and reasoning models for unconventional computing. Collaborating on high-fidelity language understanding using novel silicon dynamics.