Company:Qualcomm India Private Limited

Job Area:Engineering Group, Engineering Group > Systems Engineering

General Summary:

Job Description

Develop and maintain GPU power modeling and estimation for diverse AI workloadsAnalyze and evaluate GPU architecture/microarchitecture for performance and power optimizationsCollaborate with hardware, software, and ML teams to identify power bottlenecks and propose architectural or algorithmic optimizationsAnalyze AI workload characteristics and correlate them with power behavior across different GPU generationsContribute to architectural trade-off studies and influence GPU roadmap decisions with data-driven insights

 

Minimum Qualifications:

Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field..2+ years of experience with ASIC design and verification2+ years of experience with low-power ASIC optimization

 

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.

Preferred Qualifications:

5+ years of experience with advanced CPU/GPU architecture/microarchitecture design development5+ years of experience with low-power ASIC design techniquesExperience in Python, C++, and ML frameworks (e.g., TensorFlow, PyTorch)Experience 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/SystemVerilo

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