Adreno GPU AI Compiler Perf specialist - Lead Engineer, Senior
Technology, Data & Digital · Software & Web Development · Software Engineering · Systems Engineering
In short
Qualcomm is looking for a Senior Lead Engineer specializing in Adreno GPU AI Compiler performance in Bangalore, India. This role involves analyzing and optimizing GPU workload performance using AI and LLVM-based compiler development, collaborating with various teams to enhance mobile and Windows on Arm platforms.
Responsibilities
- Conduct competitive analysis of GPU compiler and performance characteristics across industry leaders.
- Profile and characterize trending GPU benchmarks and applications, comparing results with competitor platforms.
- Utilize external and internal profiling tools, including AI-powered analytics, to identify performance bottlenecks.
- Apply AI and machine learning methodologies to optimize compiler algorithms and improve GPU workload performance.
- Integrate and evaluate AI-based graphics techniques for enhanced rendering and visual improvements.
- Propose improvements in compilers and GPU architecture based on competitive analysis and AI insights.
- Recommend application modifications to maximize performance on Qualcomm GPUs.
- Summarize profiling results and present findings to customers and internal teams.
- Collaborate on the development of new AI-based performance modeling and benchmarking tools.
- Support performance analysis and optimization for the Snapdragon Elite Windows on Arm platform.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
- Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
- PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- Experience in compiler development, with exposure to AI-based optimization techniques.
- Hands-on experience with LLVM compiler infrastructure.
- Familiarity with LLVM IR, pass development, and integration of AI-based optimization techniques.
- Understanding of computer architecture (GPU, memory, data layout, etc.) and performance tradeoffs.
- Proficiency in C/C++ and scripting languages (e.g., Python).
- Experience in machine learning frameworks.
- Strong communication skills, teamwork spirit, reliability, and self-motivation.
Desired Qualifications
- BS/MS/PhD degree in Computer Science, Electrical Engineering, or Game Development.
- Experience in graphics programming, OpenCL, or CUDA application development.
- Familiarity with performance profiling tools and hardware performance counters for parallel applications.
- Hands-on experience with machine learning/deep learning tools (scikit-learn, TensorFlow, or similar).
- Experience with benchmarking and performance tuning for parallel applications.
- Experience with performance analysis and optimization for Windows on Arm platforms.
- Exposure to AI-based graphics techniques such as neural rendering, super-resolution, denoising, and real-time inference for graphics workloads.
Benefits
- Qualcomm is an equal opportunity employer.
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- 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.
Skills
LLVMAIMachine LearningC++PythonVulkanOpenCLCUDATensorFlow
#GPU#Compiler#AI#Performance Engineering#Systems Engineering#LLVM#Mobile#Windows on Arm#Snapdragon Elite
About Qualcomm
Enabling a world where everyone and everything can be intelligently connected.
Enabling a world where everyone and everything can be intelligently connected.\n\n
Company
QualcommJob Posted
2 weeks ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Senior
Locations
Bangalore, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant
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