Engineering Manager
Voltai
Engineering Manager
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.
Key Responsibilities
Lead and manage a team of engineers through weekly sprint cycles and delivery milestones
Drive sprint planning and execution — from backlog grooming to sprint reviews to retrospectives
Ruthlessly prioritize engineering work based on business impact, technical debt, and resource constraints
Translate complex requirements from product and hardware teams into clear, actionable engineering tasks and user stories
Remove blockers and facilitate team productivity through daily standups, 1:1s, and cross-team coordination
Partner closely with product and design teams to balance feature delivery with technical excellence
Track team velocity, sprint health, and delivery metrics while driving continuous process improvement
Required Skill Sets
2–6 years of experience in engineering management, ideally leading 3-8 engineers at a technical or AI-driven company
Strong people management skills — coaching engineers, managing performance, and fostering team growth
Excellent prioritization and project management abilities, especially in fast-moving sprint environments
Experience with agile methodologies, sprint planning tools (Jira, Linear), and engineering productivity metrics
Ability to balance competing priorities while maintaining team focus and morale
Technical depth to engage in architectural discussions and code reviews when needed
Strong background in Electrical Engineering or Computer Engineering is a bonus
Comfort working in fast-paced, high-growth environments with shifting priorities
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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