Post-Silicon Validation Engineer
Voltai
Post-Silicon Validation 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 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.
What You’ll Do
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.
What We’re Looking For
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.
Bonus Points
Experience with silicon characterization and yield.
Background in pre-silicon verification.
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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