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
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.
What they're looking for
- Education: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience
- Experience: Minimum of 8 years of hands-on experience with advanced verification methodologies and languages, specifically UVM and SystemVerilog
- Technical Expertise: Proven track record of developing and maintaining complex verification testbenches and automated test environments
- Scripting Experience: Proficiency in scripting languages (e.g., Python, Shell, or Bash ) for automation of verification flows and result analysis
- Tool and Infrastructure Knowledge: Strong familiarity with general-purpose operating systems such as Linux , and industry standard tools from companies such as Cadence and Synopsys
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.
- Verification Strategy & Architecture: Define, architect, and implement comprehensive verification plans and environments for IP blocks and full chip from specification to tape-out.
- Methodology and Infrastructure: help build verification infrastructure from ground zero to flexible and nimble environments, able to move quickly and scale for growth.
- Testbench Ownership: Take full ownership of the verification lifecycle, including the development and maintenance of scalable testbenches, sophisticated test cases, and robust...
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