Staff GPU Compiler Performance Engineer

Company

Qualcomm Canada ULC

Job Area

Engineering Group, Engineering Group > GPU ASICS Engineering

General Summary

• Open to hire for remote talent in Canada
  
  
  

Qualcomm’s Adreno GPU has been the industry leading mobile graphics solution in today’s Android smart phone market worldwide. Our power efficient GPU solution is fundamental to enable the new exciting markets like VR/AR, IoT, AI, drone, autonomous driving etc. GPU compiler is a key component of graphics solution. We are looking for talented engineers to create world class GPU compiler products to enable high performance graphics and compute with low power consumption.

This position will be responsible for research, analysis and improvement of Qualcomm's Adreno GPU compiler and system performance to our worldwide customers. Based on the analyses and experiments on real world GPU applications, and investigation/prototyping of compiler optimizations, there will be opportunities to influence performance of games, applications, and hardware design, through interactions with graphics driver, architecture, and game development.

Responsibilities For GPU Compiler Performance Engineer

• Profile and characterize trending GPU benchmarks and applications (games, HPC, AR/VR and AI)
• Use/develop tools to identify performance bottlenecks and study optimization heuristics
• Propose/prototype improvements in compilers and GPU architecture to tackle identified bottlenecks
• Provide programming guide to help developers get better performance on Qualcomm GPUs
  
  
  

Minimum Qualifications

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.
  
  
  

OR

Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 3+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

OR

PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Software Engineering, Hardware Engineering, Systems Engineering, or related work experience.

Ideal Candidate Will Have

• Broad compiler knowledge, development, and optimization experience
• Deep understanding of computer architecture (GPU, memory, data layout, etc.) and performance tradeoffs
• Understanding of parallel computing on multi-core CPU, GPU, or heterogeneous systems
• Extensive experience with benchmarking and performance analysis and tuning for parallel applications
• Good communication skills and teamwork spirit, reliable and self-motivated
  
  
  

Preferred Qualifications

• Graphics shader programming (OpenGL, Vulkan, DirectX, or others) or OpenCL/CUDA/SYCL kernel development
• Experience with performance profiling and modeling for games, HPC, AR/VR, or AI applications
• Experience with machine learning / deep learning tools (scikit learn, tensorflow, or others)
  
  
  

Principal Duties And Responsibilities

• Leverages advanced GPU knowledge and experience to architect, design, implement, verify, and/or optimize the performance and power of GPU cores.
• Builds functional model simulations, develops software, and tests for various graphics to verify correctness and ensures advanced performance and power goals are met.
• Designs, programs, and runs comprehensive graphics tests using tools and methods under different scenarios and benchmarks to verify functionality, performance, power, and stability and identify issues.
• Collaborates with cross-functional teams, third-party vendors, and external users to guide implementation and ensure alignment with needs and goals.
• Develops critical driver and compiler software to support GPU products.
• Writes detailed technical documentation and feature descriptions for complex GPU projects to guide users and/or customers to implement output.
  
  
  

Level Of Responsibility

• Works independently with minimal supervision.
• Provides supervision/guidance to other team members.
• Decision-making may affect work beyond immediate work group.
• Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc.
• Has a moderate amount of influence over key organizational decisions.
• Tasks require multiple steps which can be performed in various orders; some planning, problem-solving, and prioritization must occur to complete the tasks effectively.
  
  
  

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail [email protected] or call Qualcomm's toll-free number found here. Upon request, 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

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If you would like more information about this role, please contact Qualcomm Careers.

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