Jobs · Quality Assurance · California

Post-Silicon Validation Engineer

Voltai · Palo Alto, CA · 2 days ago
On-siteQuality AssuranceFull-time

About the role

Voltai is developing world models and agents to learn, evaluate, plan, experiment, and interact with the physical world, starting with understanding and building hardware — electronics systems and semiconductors where AI can design and create beyond human cognitive limits. You'll make sure first silicon works. You'll own bring-up and validation on real silicon programs with leading semiconductor companies while helping Voltai's AI learn from what happens after tapeout.

About the team

Backed by Silicon Valley's top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. The team includes 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.

Responsibilities

  • Plan and execute post-silicon bring-up and validation for SoCs and IP.
  • Develop validation content, test plans, and automated test infrastructure.
  • Debug silicon failures across logic, timing, power, and system interactions.
  • Correlate silicon results with pre-silicon simulation, emulation, and formal results.
  • Work with design, DFT, and product engineering teams to drive root cause and fixes.
  • Capture silicon learnings that feed back into Voltai's models and verification flows.

Requirements

  • 5+ years of post-silicon validation or bring-up experience.
  • Hands-on lab experience with oscilloscopes, logic analyzers, JTAG, and debug tools.
  • Strong Python and C/C++ for test automation.
  • Experience with high-speed interfaces (PCIe, DDR, Ethernet, or similar).
  • Systematic debug skills across hardware and software.

Preferred qualifications

  • Experience with silicon characterization and yield.
  • Background in pre-silicon verification.
  • Interest in AI-assisted design tools.

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