Remote AI-Driven UVM Verification Engineer

Energy Jobline ZR; United (WV); Remote; USD 90,000 - 130,000; Full time

Job summary

Paradigm Works, Inc. is seeking a full-time remote UVM Verification Engineer to develop and maintain SystemVerilog/UVM testbenches for complex RTL designs. You will create test plans, execute tests, debug failures, and collaborate with design, validation, and architecture teams to ensure coverage and correctness.

The role emphasizes mentoring, continuous improvement of verification methodologies, and exposure to AI-assisted verification techniques in a distributed, remote setting.

Qualifications

• Strong RTL design and functional verification skills with SystemVerilog and UVM.
• Familiarity with AI for verification is a plus and an eagerness to learn AI-based verification methods.
• Experience with EDA tools, simulators, waveform viewers, and version control.
• Excellent communication in a distributed remote team.

Responsibilities

• Develop and maintain SystemVerilog/UVM testbenches, including stimulus, checkers, monitors, and scoreboards.
• Create test plans, write and execute tests, and debug simulation failures.
• Collaborate with design, validation and architecture teams to achieve coverage goals.
• Analyze verification results, track defects, and refine verification environments.
• Mentor teammates and participate in technical discussions with clients when needed.

Skills

AI for verification

RTL design

SystemVerilog

UVM

Debugging

EDA tools

Version control

Python scripting

Education

Bachelor’s or Master’s degree in Electrical Engineering / Computer Engineering / Computer Science

Tools

SystemVerilog/UVM tools

Job description

Paradigm Works, Inc. is seeking a full-time remote UVM Verification Engineer to develop and maintain SystemVerilog/UVM testbenches for complex RTL designs. You will create test plans, execute tests, debug failures, and collaborate with design, validation, and architecture teams to ensure coverage and correctness.

The role emphasizes mentoring, continuous improvement of verification methodologies, and exposure to AI-assisted verification techniques in a distributed, remote setting.