GPU/ AI Compiler Performance specialist - SR Staff
Job Description
- Master's or higher degree in Computer Engineering or Computer Science
- 7+ years Systems Engineering or related work experience
- Graphics shader programming (OpenGL, Vulkan, DirectX, OpenCL/CUDA)
- Experience with profiling/debugging tools and hardware performance counters
- Experience with benchmarking and performance tuning for parallel applications
- BS/MS/PhD degree in Computer Science or Electrical Engineering
- LLVM Compiler knowledge, development, and optimization experience
- Understanding of GPU and computer architecture and performance tradeoffs
- Experience with C/C++ and Python
- Minimum 5 years of Systems Engineering or related work experience
- World-class health benefit option providing world-class coverage to employees and their eligible dependents
- Programs designed to help employees build and prepare for a financially secure future
- Self and family resources help you build emotional/mental strength and resilience
- Wellbeing programs and resources offer support to help employees Live+Well and Work+Well
- Continuous learning and development programs
- Tuition reimbursement
- Mentorships
Job Posting Date
2025-10-30
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
Job Description
Responsibilities:
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 and bottlenecks, usage and development of tools/profilers, and investigation of compiler architecture, there will be opportunities to influence performance of games, applications, and hardware design, through interactions in compiler/driver, architecture and games development.
Qualifications:
• A BS/MS/PhD degree in Computer Science or Electrical Engineering.
• LLVM Compiler knowledge, development, and optimization experience.
• Understanding of GPU and computer architecture (CPU, memory, data layout, etc.) and performance tradeoffs.
• Experience with C/C++ and Python
• Good communication skills and teamwork spirit, reliable and self-motivated
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.
Minimum Qualifications
- Bachelor's or higher degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 5+ years Systems Engineering or related work experience
Preferred Qualifications:
- Master's or higher degree in Computer Engineering or Computer Science.
- 7+ years Systems Engineering or related work experience
- Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA kernel development
• Experience / understanding of profiling / debugging tools and hardware performance counters for parallel applications
• Experience with benchmarking and performance tuning for parallel applications, games, HPC, AR/VR, or AI applications.
