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Silicon Validation & AI/ML Architect

On-siteStaffOtherposted 2mo ago
Role summaryAI-generated

This role demands a seasoned semiconductor expert with deep SoC validation expertise, bridging hardware, firmware, and security domains to lead complex silicon qualification programs. The candidate must excel in cross-functional collaboration while resolving intricate debug challenges across embedded systems and connectivity products.

Skills required

About this role

Education

  • M.S./M.Tech/Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, Artificial Intelligence, Machine Learning, or related field.

Experience

  • 12+ years of semiconductor industry experience.
  • Strong background in MCU, MPU, SoC, or Connectivity product development.
  • Proven experience in silicon bring-up, post-silicon validation, system validation, and product qualification.
  • Demonstrated leadership in driving large technical initiatives and cross-functional programs.

Silicon Validation Expertise

  • Deep understanding of:
    • SoC architecture
    • Embedded systems
    • Silicon validation methodologies
    • System-level validation
    • Security and Functional Safety concepts
    • Pre-silicon (simulation, emulation, FPGA) and post-silicon validation
  • Expertise in debug and root-cause analysis across hardware, firmware, and software domains.

Programming & Automation

  • Expert-level Python development.
  • Strong C/C++ programming skills.
  • Experience developing scalable validation automation frameworks.
  • Knowledge of CI/CD, remote labs, cloud-based validation, and board farm infrastructures.

AI/ML & Data Science

  • Hands-on experience with:
    • Machine Learning
    • Deep Learning
    • Generative AI
    • Large Language Models (LLMs)
    • Agentic AI systems
    • Predictive analytics
    • Anomaly detection


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