Machine Learning Engineer
Voltai
Machine Learning 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.), 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.
What we're Looking For
Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs.
Proven track record of delivering AI/ML projects from concept to production.
Hands-on experience fine-tuning and deploying large language models (LLMs) in production environments.
Prior experience working with multi-modal models (e.g., combining text, image, or audio inputs).
Bonus Points
Background in competitive programming.
Contributions to open-source initiatives.
Notable awards or publications in leading journals/conferences.
Experience thriving in a fast-paced, hyper-growth startup environment.
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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