Post-Silicon Validation Engineer

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.

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.

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 & Global Foundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign-Policy Advisor to four US presidents.

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.

• 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.

• 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.

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