GPU/AI Power Performance SR Staff Engineer
2 days ago
Company:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizationsExperiance in Artificial intelligenceGPU power modeling and estimation for projection and correlationGPU workload analysis, profiling, and characterizationsAnalyze, model, and minimize GPU register, logic, memory, and clock powerDevelop and maintain tests for pre-silicon and post-silicon power verifications.Work closely with multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teamsKnowledge of Graphics architecture is a plusMinimum Qualifications:• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.Preferred Qualifications:Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field.3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development5+ years of experience with VLSI design and verification5+ years of experience with low-power ASIC design techniquesExperience with industry tools such as PrimeTime PX and Power ArtistExperience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda developmentExperience with GPU driver and compiler developmentSkills: C/C++ Programming Language, AI, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification 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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GPU/AI Power Performance SR Staff Engineer
2 days ago
Bengaluru, Karnataka, India Qualcomm Full time ₹ 12,00,000 - ₹ 36,00,000 per yearCompany:Qualcomm India Private LimitedJob Area:Engineering Group, Engineering Group > Systems EngineeringGeneral Summary:Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizationsExperiance in Artificial intelligenceGPU power modeling and estimation for projection and correlationGPU workload analysis,...
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