GPU/AI Performance SR Staff Engineer

As an experienced Systems Engineer at Qualcomm India Private Limited, your main responsibility will be to analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations. Your expertise in Artificial intelligence will be utilized for GPU power modeling and estimation, workload analysis, profiling, and characterizations. You will also be expected to analyze, model, and minimize GPU register, logic, memory, and clock power. Additionally, you will play a crucial role in developing and maintaining tests for pre-silicon and post-silicon power verifications. Collaboration with various teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams will be essential in this role. Knowledge of Graphics architecture will be considered a plus. **Key Responsibilities:** - Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations - Utilize expertise in Artificial intelligence for GPU power modeling and estimation - Conduct GPU workload analysis, profiling, and characterizations - Analyze, model, and minimize GPU register, logic, memory, and clock power - Develop and maintain tests for pre-silicon and post-silicon power verifications - Collaborate with multiple teams including RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams **Qualifications Required:** - 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 - OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience - 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 development - 5+ years of experience with VLSI design and verification - 5+ years of experience with low-power ASIC design techniques - Experience with industry tools such as PrimeTime PX and Power Artist - Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development - Experience with GPU driver and compiler development - Skills in C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification ,