Low-Power Design Engineer
Voltai
Low-Power Design Engineer
Voltai
AI world models for chip design & manufacturing
About Voltai
Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits.
About the Team
Backed by Silicon Valley’s top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), the inventors of IC3 and the Murphi verification system, CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents.
About this Role
You'll own power intent from architecture through signoff. You'll design and verify low-power architectures on real silicon programs with leading semiconductor companies while helping Voltai's AI learn power-aware design.
What You’ll Do
Define power architecture and write UPF power intent for SoCs and IP.
Implement and verify power gating, clock gating, multi-voltage domains, and retention.
Run power-aware simulation, static low-power checks, and CDC/RDC analysis.
Partner with RTL, physical design, and signoff teams on power estimation and closure.
Build automation for power analysis and reporting.
Evaluate AI-generated power intent and help define what correct looks like.
What We’re Looking For
5+ years of low-power design or verification experience on production tapeouts.
Expert UPF knowledge and experience with power-aware verification.
Hands-on experience with tools like VC LP, Conformal Low Power, or PowerArtist.
Experience with CDC/RDC tools (SpyGlass, Questa CDC, or similar).
Python or Tcl scripting.
Bonus Points
Experience with mobile, edge, or data-center power management.
Formal verification of power intent.
Interest in AI-assisted design tools.
Voltai builds AI models and agents that learn, plan, and experiment in the physical world, starting with semiconductor design and manufacturing. Its world models run virtual experiments, then validate results in real fabrication settings to build rich datasets across the hardware stack. What sets Voltai apart is a team of Stanford researchers, former chip-industry CTOs, and policy veterans working with major semiconductor, electronics, and automotive manufacturers. The goal is to speed hardware innovation through AI-driven simulation and validation.
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