Design Verification Architect

 Posted 10 days ago
     
 $150K - $300K per year
  
10+ years experience
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AI Summary

Lead the definition and execution of scalable verification strategies for next-generation SoCs in AI, HPC, and Networking. Develop reusable verification platforms and leverage AI/ML techniques to automate testbench generation and improve coverage closure.

Role Overview 

We are seeking a highly experienced Design Verification Architect to lead the definition and execution of scalable, reusable, and high-quality verification strategies for next-generation SoCs targeting AI, HPC, and Networking applications. This role requires deep expertise in verifying large and complex SoCs and a passion for building next-gen verification platforms, leveraging automation, portability, and AI-driven methodologies

 

What You’ll Do  

  • Define and drive the overall verification architecture for large-scale SoCs, ensuring scalability from IP → subsystem → full SoC level  
  • Architect and develop reusable, modular, and portable verification platforms that can be leveraged across multiple chip programs  
  • Establish methodologies for seamless reuse and portability, including Portable Stimulus (PSS)-based verification flows  
  • Lead the development of high-performance, coverage-driven testbenches using industry-standard methodologies (e.g., UVM)  
  • Drive multi-level verification strategies, enabling efficient scaling across:  
  • Block-level, Multi-block/subsystem level, Full-chip SoC level  
  • Define and enforce verification quality metrics, coverage closure strategies, and sign-off criteria  
  • Champion a “fail-fast” philosophy to detect issues early and improve overall design quality  
  • Drive initiatives toward first-pass silicon success, minimizing escapes and post-silicon debug effort  
  • Leverage AI/ML techniques and AI agents to:  
  • Automate testbench generation  
  • Improve stimulus generation and coverage closure  
  • Enhance regression efficiency and debug productivity  
  • Enable intelligent verification QA and anomaly detection  
  • Collaborate closely with design, architecture, physical design, and software teams to ensure alignment and early issue detection  
  • Mentor and guide DV teams on best practices, methodology adoption, and architectural decisions  

 

What We’re Looking For 

  • Bachelor’s/Master’s degree in Electrical Engineering, Computer Engineering, or related field  
  • 12+ years of experience in Design Verification, with significant exposure to large SoC verification  
  • Proven experience in defining and deploying verification architectures for complex chips  
  • Strong expertise in:  
  • SystemVerilog and UVM  
  • Coverage-driven verification (functional + code coverage)  
  • Assertion-based verification (SVA)  
  • Hands-on experience with Portable Stimulus (PSS) and cross-level stimulus reuse  
  • Deep understanding of SoC architectures in AI, HPC, or Networking domains  
  • Experience with multi-IP integration challenges, coherency, high-speed interfaces, and large-scale data movement  
  • Strong debugging skills and ability to handle complex system-level issues  

 

Preferred Qualifications 

  • Experience with AI/ML applications in verification workflows  
  • Exposure to emulation, prototyping, or hybrid verification platforms  
  • Familiarity with performance verification and power-aware verification  
  • Knowledge of industry-standard protocols (e.g., PCIe, DDR, Ethernet, CXL, UCIe)  
  • Experience building verification frameworks reused across multiple tape-outs  

 

Key Attributes 

  • Strong architectural thinking with a systems-level mindset  
  • High ownership with a quality-first approach  
  • Bias toward automation, reuse, and scalability  
  • Passion for adopting cutting-edge technologies, especially AI-driven verification  
  • Ability to operate in a fast-paced environment with a fail-fast, learn-fast attitude  
  • Excellent collaboration and leadership skills  

 

Success in This Role Looks Like 

  • High degree of verification reuse across programs  
  • Achievement of coverage and quality goals within schedule  
  • Reduction in verification cycle time through automation and AI  
  • Strong track record of first-time silicon success  
  • Minimal post-silicon escapes and debug cycles 

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