GPU Functional Verification Sr Lead Engineer
4 days ago
Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Hardware EngineeringGeneral Summary:Minimum Qualifications:• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 4+ years of Hardware Engineering or related work experience. ORMaster's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 3+ years of Hardware Engineering or related work experience. ORPhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. In the role of GPU Functional Verification Engineer, your project responsibilities will include the following,Develop deep understanding of 3-D Graphics hardware pipeline, feature sets, data paths, block functionalities & interfacesStrategize, brainstorm, and propose a DV environment, develop test bench, own test plan, debug all RTL artefacts, and achieve all signoff matricesEngage with EDA vendors, explore new and innovative DV methodologies to push the limits of sign off qualityCollaborate with worldwide architecture, design, and systems teams to achieve all project goalsCurrently, we are looking for candidates who can match one or more of the profiles listed below,Strong knowledge of UVM based System Verilog TB Knowledge of GPU pipeline design is a plus, not mandatory Proficiency with formal tools – working knowledge of Property based FV is a plus, not mandatory Strong communication skills (both written and verbal) Most importantly, ability to learn, improve and deliverThe pre-Si verification team in Bangalore is currently heavily involved in the followingUVM/SV based constrained random test bench for functional verificationSubsystem level TB for complete GPU workload analysis and complianceEmulation platforms to analyze performance and pipeline bottlenecksFormal tools – both for reduced time to bug & property based FV sign-offPower Aware & Gate level simulations to deliver a high-quality GPU implementationPerl/Python scripts for automation in managing regressions, optimize run time, manage database and bug Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability- or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.If you would like more information about this role, please contact Qualcomm Careers.
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