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Quest Global

Engineering services, digital transformation, asset management

DFT Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-time$160k - $220k

About the Job

Requirements

  • A bachelor's degree with 8 or more years of experience, or a master's degree with 9 or more years of experience.
  • Extensive hands-on experience in DFT for ASIC/SoC designs.
  • Strong expertise in chip-level DFT planning and integration.
  • Deep knowledge of LBIST (at-speed scan), ATPG, MBIST, and JTAG.
  • Experience with test-time reduction methodologies.
  • Solid understanding of low-power DFT and fault modeling, including stuck-at, transition, path delay, and IDDQ.
  • Experience with silicon failure analysis and debugging.
  • Strong knowledge of static timing analysis (STA).
  • Experience with DFT simulations, including timing considerations.
  • Familiarity with ASIC/SoC design flows, including low-power and multi-power-domain designs.
  • Experience working with Mentor DFT tools or similar EDA tools.
  • Must be able to commute to and from the work location using own transportation to meet required working hours.

Responsibilities

  • Develop and implement top-level and block-level DFT plans and integrations.
  • Use the Tessent tool flow across DFT processes.
  • Perform ATPG generation and support ATE interface integration.
  • Support ATE bring-up and conduct silicon failure analysis and debugging.
  • Analyze and reduce test time while maintaining high quality standards.
  • Execute synthesis, STA, and simulation for DFT modes.
  • Perform formal verification and ensure design correctness.
  • Implement and manage multi-power-domain DFT strategies.
  • Troubleshoot complex DFT issues and drive continuous DFT flow improvements.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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