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Salary
≈ $118k – $223k per year (Estimated)
Location
In office (Palo Alto)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 4
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 19, 2026. Voltai scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Voltai develops world models and AI agents that learn, evaluate, plan and experiment, starting with understanding and building hardware such as electronics systems and semiconductors. It hires machine learning engineers, full-stack engineers, enterprise sales executives and engineering managers. The company is headquartered in Palo Alto, California, United States.

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.

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