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DFT Engineer

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Onsite

DFT Engineer

Evollabs Tech

DFT Engineer

Skills

NodePythonAI

3 months ago

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Important information


Contract type:

Permanent

Location:

Dubai - United Arab Emirates

Work mode:

Onsite

Published on:

4 September 2026

What they need


Location: Dubai - UAE

Team: SoC Physical Design Team

Type: Full-time – On-site

About Us We design and develop customized server hardware solutions optimized for artificial intelligence and machine learning workloads. Our focus is on high-performance, scalable, and energy-efficient infrastructure for next-generation AI compute.

Role Overview

Evollabs Tech is hiring a Senior DFT Engineer to own design-for-test architecture, implementation, verification, and silicon bring-up for advanced AI SoC / ASIC accelerator designs.

This role will work across RTL, verification, physical design, product engineering, ATE, and external partners to deliver testable, diagnosable, production-ready silicon.

Responsibilities

  • Define and implement DFT architectures for complex AI SoC/ASIC blocks and subsystems.
  • Own scan insertion, scan compression, ATPG, fault coverage closure, and DFT signoff.
  • Implement and support MBIST, LBIST, JTAG, boundary scan, test access, and memory repair features.
  • Develop DFT specifications, test plans, coverage targets, constraints, and signoff criteria.
  • Work with RTL and verification teams to ensure DFT requirements are built into the design early.
  • Collaborate with physical design teams on scan reordering, test-mode timing, congestion, ECOs, and implementation closure.
  • Debug DFT issues across RTL, gate-level simulation, synthesis, STA, ATPG, physical implementation, and silicon bring-up.
  • Support ATE pattern delivery, silicon debug, diagnostics, yield learning, and production test ramp.
  • Communicate DFT status, risks, trade-offs, and signoff readiness clearly with internal teams, external partners, vendors, and stakeholders.
  • Build scripts and automation to improve DFT implementation, reporting, pattern generation, and debug

Minimum Qualifications (Must Have)

  • 7+ years of hands-on DFT experience in ASIC or SoC development.
  • Strong experience with scan insertion, ATPG, scan compression, fault simulation, and coverage closure.
  • Experience with MBIST, LBIST, JTAG, boundary scan, and test access architecture.
  • Strong understanding of scan shift/capture timing, at-speed testing, test-mode constraints, and multi-clock-domain DFT.
  • Experience debugging DFT issues across RTL, gate-level simulation, synthesis, STA, ATPG, and silicon bring-up.
  • Experience with complex SoC/IP integration, such as NoC, CPU, GPU/NPU, PCIe, Ethernet, UCIe, HBM/GDDR, or other high-speed interfaces.
  • Proficiency with industry-standard DFT tools such as Siemens Tessent, Synopsys TestMAX/DFT Compiler, Cadence Modus, or equivalent.
  • Strong scripting skills in Tcl, Python, Perl, or shell.
  • Excellent written and verbal communication skills, including the ability to work effectively with internal engineering teams, external partners, vendors, and cross-functional stakeholders.

Preferred Qualifications (Nice To Have)

  • Experience with AI accelerators, GPUs, NPUs, or highly parallel compute SoCs.
  • Experience with advanced-node, high-frequency, or high-density designs.
  • Experience with chiplets, multi-die systems, UCIe, 2.5D packaging, or package-aware test strategies.
  • Experience with HBM/GDDR or other high-bandwidth memory subsystem test requirements.
  • Experience with low-power DFT, UPF-aware test implementation, power domains, and power-aware ATPG.
  • Experience with silicon bring-up, ATE debug, diagnostics, yield ramp, and production test optimization.
  • Prior tapeout experience on advanced-node SoCs.

What Success Really Means

  • First silicon is testable, diagnosable, and ready for bring-up without major DFT workarounds.
  • DFT coverage targets are met across logic, memory, scan, and relevant fault models.
  • Test patterns are delivered on time with acceptable runtime, power, and ATE compatibility.
  • Physical design, timing, and manufacturing teams can close signoff without DFT-driven schedule risk.
  • Silicon debug and yield learning are accelerated through strong diagnostics and clear test visibility.

Ready to accelerate the future of AI? Submit your application and show us how you think systematically about DFT architecture, coverage closure, silicon debug, and building testable silicon that scales.

Join us in our mission to democratize AI compute — where your DFT expertise helps turn advanced AI silicon into reliable, production-ready infrastructure.

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