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Functional Verification Engineer – Applied ML

Cadence·Israel·
PresencialTiempo completoQA & Test AutomationSemiconductorEnterprise Software

Develop AI-assisted pre-silicon verification solutions for semiconductor design, combining formal verification, simulation, UVM methodologies, machine learning, and EDA tools.

Responsabilidades

  • Apply machine learning techniques to streamline formal verification and UVM-based pre-silicon verification
  • Develop agentic AI solutions using large language models and current machine learning technologies
  • Use AI-enhanced EDA tools to improve chip design and verification workflows
  • Work with customers to understand requirements and deliver practical verification strategies
  • Collaborate with machine learning and software engineering teams to validate correctness, efficiency, and quality
  • Track advances in AI-powered hardware verification and contribute to internal knowledge sharing

Requisitos

  • Bachelor’s degree with at least 4 years of experience, master’s degree with at least 2 years of experience, or a newly completed PhD
  • More than 3 years of experience with at least one pre-silicon ASIC verification methodology, such as formal verification, SystemVerilog/UVM, or OVM
  • Advanced debugging skills using waveform viewers and simulation analysis tools
  • Hands-on experience with industry-standard EDA tools such as Jasper, Xcelium, or IMC
  • Strong programming skills in Verilog, SystemVerilog, and Python
  • Strong communication and collaboration skills
  • Self-motivated approach to problem solving, continuous learning, and innovation

Se valora

  • Exposure to LLMs, retrieval-augmented generation, reinforcement learning, or agentic frameworks
  • Experience applying machine learning to hardware verification

Beneficios

  • Opportunity to work on advanced AI and semiconductor design technology
  • Employee well-being and career development programs
  • Learning and development opportunities
  • Collaborative, cross-functional team environment

Compatibilidad

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