About Unconventional
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.
The Role
As a Member of Technical Staff, DFT 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 testability realization of our novel computing platform, ensuring that our complex digital logic and custom mixed-signal blocks can be reliably tested.
Responsibilities
Minimum Qualifications
Education: B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field.
Experience: 10+ years of industry experience in digital DFT and test architecture, with a track record of successful tapeouts on modern process nodes (7nm, 5nm, or newer preferred).
Technical Expertise:
Deep expertise in scan compression, MBIST generation, fault modeling (stuck-at, transition, path delay), and ATPG.
Deep understanding of physical design challenges in advanced nodes (multi-patterning, finFET effects, low-voltage operation) and their impact on test reliability.
Expertise in Static Timing Analysis (STA) and timing closure for complex designs in shift and capture test modes.
Design Flow Proficiency:
Expert-level mastery of standard EDA CAD tool suites for DFT implementation and vector generation.
Strong scripting skills in Tcl, Python, or Perl to automate design flows and data analysis.
Communication: Excellent written and verbal communication skills, with experience managing deliverables from external vendors or design houses.
Preferred Qualifications (Nice to Have)
Why Join Us?
| Location | Mountain View, CA |
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