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Design Verification Architect

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: TylSemi
Full Time position
Listed on 2026-06-19
Job specializations:
  • Engineering
    Test Engineer, Systems Engineer, Hardware Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

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 test benches 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:
  • 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:
  • System Verilog 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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