Adreno GPU AI Compiler Perf specialist - Lead Engineer, Senior
Qualcomm IncorporatedMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Lead GPU compiler performance analysis and optimization for Adreno GPUs, focusing on AI-based compiler and graphics techniques.
Conduct competitive benchmarking against industry leaders and collaborate with hardware architects, application developers, and compiler teams to propose improvements.
Develop and evaluate AI-driven performance modeling, profiling tools, and enhancements for Snapdragon Elite Windows on Arm platform.
Minimum Requirements
BS/MS/PhD in Computer Science, Electrical Engineering, or related field with 2-4+ years of systems engineering or compiler experience as per degree level.
Hands-on experience with LLVM compiler infrastructure including development, optimization, debugging for GPU compilers.
Strong understanding of GPU architecture, computer architecture concepts, and comparative performance analysis.
Proficiency in C/C++ and scripting languages (e.g., Python), and experience applying AI/ML methods for compiler optimization.
Ideal Candidate Profile
Experienced in LLVM-based GPU compiler development with AI-augmented optimization and graphics techniques expertise.
Comfortable performing cross-vendor GPU performance benchmarking and profiling using advanced tools including AI-powered analytics.
Familiar with GPU workload performance tradeoffs, Windows on Arm platform optimization, and collaboration across product and research teams.