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d-Matrix

Delivers memory-integrated AI compute platforms

Senior Staff Design Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USA$175k - $265k /yrHybrid

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Science, or a related field, with 12 or more years of industry experience; alternatively, a master's degree with 7 or more years of experience.
  • Experience across the full system-on-chip or intellectual-property verification cycle, from architecture through tape-out and bring-up.
  • Hands-on experience developing and debugging ASIC or SoC design verification tests.
  • Fluency with SystemVerilog, including randomization, constraints, coverage, and assertions, and verification methodologies such as UVM, OVM, or VMM.

Responsibilities

  • Develop and execute verification plans across the SoC/IP verification cycle, from architecture definition through tape-out and silicon bring-up.
  • Build and maintain UVM/OVM-based verification environments for complex ASIC/SoC designs.
  • Write and debug SystemVerilog testbenches using randomization, functional coverage, and assertion-based methodologies.
  • Drive root-cause analysis and debug verification failures in close collaboration with design and architecture teams.
  • Define and track coverage closure goals to ensure comprehensive verification sign-off.
  • Partner with design, architecture, and physical design teams to align verification strategy with tape-out schedules.
  • Contribute to the evolution of verification methodology and infrastructure to support next-generation in-memory computing architectures.

Desired Qualifications

  • Experience with C/C++ and SystemC.
  • A track record of leading the creation and implementation of multiple SoC verification environments and driving tape-out efforts.

About the Company

d-Matrix

Delivers memory-integrated AI compute platforms

d-Matrix provides scalable AI compute platforms for large datacenters with a focus on energy efficiency. Its core offering, the digital in-memory compute (DIMC) engine, places compute directly in programmable memory and uses a fabric of low-power, modular chiplets plus software to optimize AI inference. It differentiates itself by combining memory-integrated computation with a modular, chiplet-based design that reduces power use and data movement for high-volume workloads. The goal is to help large datacenters run AI workloads more efficiently at scale through customizable, energy-efficient compute solutions.

Company size
201-500
Company stage
Series C
Total funding
$429M
Headquarters
Santa Clara, CA
Founded
2019

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