Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. Backed by Lightspeed, Sequoia and a16z.
About the role
As a Member of Technical Staff, Physical Design Engineer , you will be a foundational member of our multi-disciplinary R&D team. We are looking for individuals who thrive at the intersection of architecture and silicon, turning novel AI concepts into high-performance, energy-efficient hardware. You will be responsible for the "back-end" realization of our novel computing platform, taking complex digital logic from RTL to GDSII. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Education: B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field
- Experience: 10+ years of industry experience in digital physical design, with a track record of successful tapeouts on modern process nodes ( 7nm, 5nm, or newer preferred )
- Deep understanding of physical design challenges in advanced nodes (multi-patterning, finFET effects, low-voltage operation)
- Proficiency in power integrity analysis and noise coupling mitigation
More about this role
Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation—a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale.
At Unconventional , our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient . We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction.
As a Member of Technical Staff, Physical Design Engineer , you will be a foundational member of our multi-disciplinary R&D team. We are looking for individuals who thrive at the intersection of architecture and silicon, turning novel AI concepts into high-performance, energy-efficient hardware.
You will be responsible for the "back-end" realization of our novel computing platform, taking complex digital logic from RTL to GDSII.
Responsibilities
- Full RTL-to-GDSII Ownership: Lead the physical implementation of complex,...
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