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Voltai

AI world models for chip design & manufacturing

Design Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USANo salary listedIn-person

About the Job

Requirements

  • Four to six years of hands-on verification experience.
  • Strong SystemVerilog and Universal Verification Methodology (UVM) skills, including proven debugging depth.
  • Familiarity with Python or similar scripting languages.
  • Curiosity toward artificial intelligence or automation in verification; expertise is not required.
  • Ability to work across domains and communicate clearly with software or machine-learning teams.
  • Comfort interacting with clients, architects, and leadership when needed.
  • Ability to work in a high-responsibility environment and create new solutions.

Responsibilities

  • Own verification strategy across multiple intellectual property blocks and subsystems, from testbench architecture to signoff.
  • Design and develop artificial-intelligence-assisted workflows that accelerate verification, coverage closure, and debugging.
  • Build reusable verification frameworks using SystemVerilog, Universal Verification Methodology (UVM), Python, and custom automation tooling.
  • Collaborate with machine-learning and software teams to integrate AI models into existing design-verification environments.
  • Explore how automation can reshape verification methodologies and contribute to product direction.
  • Work with customers in a forward-deployed capacity when needed, translating real design challenges into product features.
  • Drive tapeout readiness with accountability for quality metrics, regression health, and coverage targets.
  • Mentor junior engineers and help define best practices for next-generation verification teams.

Desired Qualifications

  • Experience with formal verification, co-simulation, or stimulus-generation frameworks.
  • Background in machine learning, large language models, data pipelines, or tool development.
  • Previous involvement in customer-facing or forward-deployed engineering roles.
  • Demonstrated ability to build tools that others use.

About the Company

Voltai

AI world models for chip design & manufacturing

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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