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, 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 ₹ 9,00,000 - ₹ 12,00,000 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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Sr. GPU ENgineer
5 days ago
Bengaluru, Karnataka, India Norwin Technologies Full time ₹ 6,00,000 - ₹ 18,00,000 per yearDear Candidate,We are looking for immediate joiners who come with an experience in GPU. Interested candidates can share their profile on Location: BangaloreMode: Work from officeShifts : US shiftBelow is teh JD for this role.Job Description: We are looking for an experienced AI/ML & DevOps Engineer to design, develop, and scale AI-driven applications using...
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GPU - Sr Staff Engineer
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GPU Performance Modelling Engineer
2 weeks ago
Bengaluru, Karnataka, India Qualcomm Full time ₹ 15,00,000 - ₹ 20,00,000 per yearCompanyQualcomm India Private LimitedJob AreaEngineering Group, Engineering Group > Systems EngineeringGeneral SummaryGeneral Summary:Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning....
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Staff/Senior Staff GPU CUDA Engineer
2 weeks ago
Bengaluru, Karnataka, India Synopsys Inc Full time ₹ 20,00,000 - ₹ 25,00,000 per yearJob OverviewAGPU Staff/Senior Staffrole that will focus on optimizing and implementing GPU-accelerated algorithms for OPC software in the EDA industry. The position emphasizes performance improvements and integration with existing EDA tools. Close peer and partner collaborations are necessary to ensure we deliver solutions at the right time that address the...
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GPU Modelling Engineer
2 weeks ago
Bengaluru, Karnataka, India Qualcomm Full time ₹ 12,00,000 - ₹ 36,00,000 per yearGeneral Summary:Adreno GPU has been the industry leading mobile graphics solution and has been the dominating GPU in todays smart phone market. Our power efficient GPU solution is fundamental to enable the exciting new markets like VR, IoT, AI, drone, autonomous driving etc. We are looking for talented Graphics System engineers to create world class GPU...
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GPU/ AI Compiler Performance specialist
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:Job DescriptionResponsibilities:This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our world wide customers. From the analyses and experiments on GPU shaders...
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Staff/Senior Staff GPU CUDA Engineer
4 weeks ago
Bengaluru, Karnataka, India, Karnataka Synopsys Inc Full timeJob OverviewA GPU Staff/Senior Staff role that will focus on optimizing and implementing GPU-accelerated algorithms for OPC software in the EDA industry. The position emphasizes performance improvements and integration with existing EDA tools. Close peer and partner collaborations are necessary to ensure we deliver solutions at the right time that address...
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GPU/ AI Compiler Performance specialist
1 day 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:Job DescriptionResponsibilities:This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our world wide customers. From the analyses and experiments on GPU shaders...
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Junior GPU Engineer
2 weeks ago
Bengaluru, Karnataka, India Norwin Technologies Full time ₹ 9,00,000 - ₹ 12,00,000 per yearTitle: Junior GPU EngineerExperience: 1-4 YearsLocation: Bangalore, India (Work from Office)Notice Period: less than 15 days (Immediate Joiner preferred)About the Role :We are looking for a Junior GPU Engineer to join our high-performance infrastructure team. This is a hands-on engineering role focused on building and scaling GPU-based compute clusters using...