Sr. GPU AI Compiler Engineer

Sr. GPU AI Compiler Engineer

As a leading technology innovator, we push the boundaries of what’s possible to enable next-generation content creation, gaming, XR, and AI experiences. Our Graphics Software Engineers architect, design, implement, verify, and optimize the structure and performance of GPU hardware, drivers, features, applications, and tools.

Minimum Qualifications

• Bachelor’s degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
• Knowledge of one or more programming language suitable for graphics (e.g., C++, C).

Ideal Candidate Will Have
 

• Strong C/C++ programming skills
• Familiarity with LLVM
• Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL.
• Understanding of data structures and algorithms, including object-oriented programming
• 2+ years industry experience

 Preferred Skills:

• Knowledge of GPU architecture and optimization techniques for GPGPU code.
• Experience with a Machine Learning Graph Compiler.
• Knowledge of MLIR

Principal Duties and Responsibilities
 

• Applies knowledge of compilers to evaluate and improve performance of different machine learning frameworks.
• Applies advanced graph optimization techniques to maximize utilization of GPU HW resources
• Writes and reviews code for Machine Learning graph compilers and Machine Learning runtimes.
• Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs.
• Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization.
• Writes detailed design documentation and feature descriptions for projects.

Sr. GPU AI Compiler Engineer

As a leading technology innovator, we push the boundaries of what’s possible to enable next-generation content creation, gaming, XR, and AI experiences. Our Graphics Software Engineers architect, design, implement, verify, and optimize the structure and performance of GPU hardware, drivers, features, applications, and tools.

Minimum Qualifications

• Bachelor’s degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
• Knowledge of one or more programming language suitable for graphics (e.g., C++, C).

Ideal Candidate Will Have
 

• Strong C/C++ programming skills
• Familiarity with LLVM
• Familiarity with a GPGPU API such as SYCL, CUDA or OpenCL.
• Understanding of data structures and algorithms, including object-oriented programming
• 2+ years industry experience

 Preferred Skills:

• Knowledge of GPU architecture and optimization techniques for GPGPU code.
• Experience with a Machine Learning Graph Compiler.
• Knowledge of MLIR

Principal Duties and Responsibilities
 

• Applies knowledge of compilers to evaluate and improve performance of different machine learning frameworks.
• Applies advanced graph optimization techniques to maximize utilization of GPU HW resources
• Writes and reviews code for Machine Learning graph compilers and Machine Learning runtimes.
• Assists in identifying deficiencies in designs and works with team members to develop solutions to improve designs.
• Collaborates with team members to understand new features and functionality that align with needs and goals for implementation and customization.
• Writes detailed design documentation and feature descriptions for projects.