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Kandou AI

Provides chip-to-chip AI connectivity solutions

DFT

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 12 years of Design for Test (DFT) experience, including architecture specification, implementation, test pattern development, and simulation.
  • A proven track record of delivering DFT solutions for complex designs.
  • Experience with IJTAG methodologies and understanding device functionality.
  • Experience with hierarchical memory built-in self-test (MBIST) insertion, hierarchical scan insertion, and scan compression methodologies.
  • Experience generating ATPG patterns for different fault models, analyzing fault coverage, and converging on high coverage metrics.
  • Strong debugging capabilities in simulating patterns with timing.
  • Experience defining test-mode constraints and analyzing timing reports.
  • Experience with industry-standard electronic design automation (EDA) tools for DFT, timing, and simulation.
  • Good knowledge of SystemVerilog.
  • A Bachelor of Engineering in Electronics and Electrical Engineering, Computer Engineering, or a similar field, or an equivalent or higher qualification.

Responsibilities

  • Lead DFT activity for next-generation products.
  • Drive DFT architectures, methodologies, and tool flows for complex multi-million-gate designs involving analog/high-bandwidth SerDes, DDR, and PCIe designs.
  • Work closely with the physical implementation team to define timing constraints in test modes and help converge on successful tapeout.
  • Apply understanding of automatic test equipment (ATE), probe, and final-test bring-up debug issues, and drive the test engineering team toward successful silicon bring-up and test-program development.
  • Define the test plan in close collaboration with design teams and drive pattern development for functional and structural tests for final- and wafer-test programs.
  • Work closely with cross-functional teams to bring up device qualification solutions for HTOL.
  • Drive lab-bench silicon debugging to understand ATE bring-up issues.
  • Mentor team members.
  • Drive process-oriented automation to help increase productivity and quality.

Desired Qualifications

  • Experience with chiplet-based designs is a plus.

About the Company

Kandou AI

Provides chip-to-chip AI connectivity solutions

Kandou AI designs and sells semiconductor connectivity hardware for AI workloads. It provides a memory fabric and CXL controllers that link processors to memory, enabling scalable, energy-efficient AI inference and training clusters built from affordable hardware. Using Copper MIMO interconnect, it reduces energy per bit and supports features like offloading AI training collectives, switchless memory for in-memory databases, and field-repairable co-packaged optics for better cooling. By targeting the data-movement bottleneck between processors and memory and offering chiplet-based fabrics and IP licensing, Kandou AI aims to make scalable AI infrastructure more accessible to hyperscalers, data centers, and system integrators.

Company size
201-500
Company stage
Late Stage VC
Total funding
$504.7M
Headquarters
Lausanne, Switzerland
Founded
2011

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