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Senior Digital Verification Engineer

Efficient Computer Service LLC
San Jose, CA Full Time
POSTED ON 2/8/2025
AVAILABLE BEFORE 5/5/2025

Join Efficient as a Senior Digital Verification Engineer and play a crucial role in the next computing revolution! We're on the lookout for a talented engineer with industry experience to lead our verification initiatives for our first-generation product. As a key member of our team, you will help verify Efficient's innovative Fabric technology by creating UVM testbenches, analyzing coverage reports, and executing test plans. This is a golden opportunity to shape our internal processes and contribute to robust designs as we scale to higher-performance product lines.

Key Responsibilities

  • Develop modular UVM testbenches and tests to thoroughly verify various design components.
  • Implement a constraint-random test methodology to effectively stimulate the device-under-test, enhancing coverage and uncovering bugs.
  • Compose SystemVerilog assertions to validate design invariants.
  • Add cover points / groups to refine code coverage metrics and support coverage closure.
  • Collaborate with the digital design team to swiftly identify and resolve bugs and coverage gaps.
  • Assist in running gate-level simulations as part of the design signoff process.
  • Provide support to third-party vendor engineers when questions arise.
  • Help build a verification dashboard to offer quick insights into the verification status of designs and identify any regressions.
  • Contribute to the development of internal processes and frameworks aimed at enhancing code quality, coverage, and accuracy.

Required Qualifications & Experience

  • Minimum of 2 years of experience in design verification.
  • Proficiency in writing and maintaining System Verilog test benches and components.
  • Bachelor's degree in Engineering or a related field is required; Master's degree or PhD is a strong plus.
  • Experience in creating custom and reusable verification infrastructure components (e.g., drivers, monitors, agents, and models).
  • Skilled in coverage-driven and constrained random verification, with a solid understanding of coverage analysis and closure techniques.
  • Able to analyze performance and correctness regressions to identify root causes effectively.
  • Experience with scripting for work automation, preferably with Python.
  • Knowledge of UVM / OVM or equivalent portable verification methodologies and IEEE-1801 (UPF) simulation flows is a plus.
  • Preferred : Familiarity with computer architecture, processor design and implementation, hardware / software engineering, and software development toolchains.
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