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Machine Learning IP Verification Engineer

Job Description - Machine Learning IP Verification Engineer

Work closely with design, architects, and verification leads to develop the IP verification strategy and testplan Create verification environment using UVM/System verilog Resolve architecture, design, or verification problems by applying sound ASIC engineering practices Write tests and regressions to identify any bugs in own work and helps more junior team members do the same Interpret the results of performance checks and identify issues Communicate directly with lead on any significant deviations from the Plan of Record for assigned block in a timely manner Perform RTL code coverage, assertion coverage, functional coverage, and gate level simulations Identify opportunity for productivity improvements. Drive and adopt new verification methodologies and flows for efficiency improvements Effectively utilize advanced problem solving and ASIC engineering practices to resolve complex problems Ability to work legally in Canada Thorough understanding of Digital design concepts Strong UVM, System Verilog skills Understanding of Bus protocols like AHB/AXI Perl, python scripting experience Quick understanding of Specs and Standards and developing relevant and thorough test plans Experienced in developing monitors, scoreboards, sequencers and sequences and various aspects of the UVM test benches Candidates should be comfortable checking builds, navigating test benches, analyzing coverage, and adding or enabling extra debug Strong communication skills and works well in a team environment Bachelor's degree in Science, Engineering, or related field.
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