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Senior Staff Design Verification

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Onsite

Senior Staff Design Verification

Qualcomm

Senior Staff Design Verification

Skills

PythonMachine LearningAI

3 months ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Staff Engineer (Design Verification)Key Responsibilities:

  • Lead and execute verification plans for various blocks within the SOC , with expertise in one or more domains CPU, DDR, Multimedia, Interconnects, Security, Peripherals, Power
  • Develop and enhance testbenches and verification environments using advanced automation techniques.
  • Collaborate closely with design and architecture teams to identify and resolve specification gaps and ensure comprehensive verification coverage.
  • Lead the SOC level verification activities from Specification phase to tape out
  • Expertise in DV closure using C, SV, UVM tests
  • Mentor and guide junior verification engineers, providing technical leadership and support.
  • Collaborate with architects, designers, and pre and post silicon verification teams to accomplish your tasks.
  • Continuously improve verification processes and methodologies to enhance efficiency and effectiveness.
  • Good problem solving , analytical and debugging skill is must.

Qualifications:

  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 12+ years of experience in SOC verification
  • Proficiency in verification languages and methodologies, including C , System Verilog, UVM, and scripting languages (Python, Perl, etc.).
  • Strong understanding of microarchitecture and SOC integration.
  • Experience with simulation, emulation, and formal verification tools.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork skills, with the ability to work effectively in a collaborative environment.

Preferred Qualifications:

  • Experience with low-power design verification and performance verification.
  • Familiarity with machine learning and AI-based verification approaches.

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