Company:Qualcomm Canada ULCJob Area:Engineering Group, Engineering Group > ASICS Engineering
General Summary:
Are you a creative engineer looking for challenges to develop technologies that improve people’s everyday life? The Qualcomm Low Power Machine Learning IP team is looking for a strong ASIC design verification engineer for an exciting opportunity to join our effort in developing world class ML HW solutions.
As a member of the team, your responsibilities include:
Work closely with design, architects, and verification leads to develop the IP verification strategy and testplanCreate verification environment using UVM/System verilogResolve architecture, design, or verification problems by applying sound ASIC engineering practicesWrite tests and regressions to identify any bugs in own work and helps more junior team members do the sameInterpret the results of performance checks and identify issuesCommunicate directly with lead on any significant deviations from the Plan of Record for assigned block in a timely mannerPerform RTL code coverage, assertion coverage, functional coverage, and gate level simulationsIdentify opportunity for productivity improvements. Drive and adopt new verification methodologies and flows for efficiency improvementsEffectively utilize advanced problem solving and ASIC engineering practices to resolve complex problemsRequired Competencies:
Ability to work legally in CanadaThorough understanding of Digital design conceptsStrong UVM, System Verilog skillsUnderstanding of Bus protocols like AHB/AXIPerl, python scripting experienceQuick understanding of Specs and Standards and developing relevant and thorough test plansExperienced in developing monitors, scoreboards, sequencers and sequences and various aspects of the UVM test benchesCandidates should be comfortable checking builds, navigating test benches, analyzing coverage, and adding or enabling extra debugStrong communication skills and works well in a team environmentMinimum Qualifications:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.OR
Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 1+ year of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
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