Software Development Engineer - Systems

Apple•Cambridge, MA

1d•Onsite

About The Position

Develop the performance software infrastructure of Apple made GPUs. Perform performance analyses of said GPUs and of a large variety of applications running on hardware, including but not limited to benchmarks, games and pro apps. Define and develop the driver software architecture for GPU introspection capabilities (including performance counters, shader profiling, tracing, etc.) to enable upper-level software and tools to measure and tune GPU workloads. This includes working at the kernel and firmware level, and up the stack to the user API level. Work with 1st and 3rd party developers on tuning GPU workloads, algorithms, and shaders to achieve the best possible performance on iOS platforms. Help to drive and refine both software and hardware architecture to maximize GPU performance and software introspection capabilities. Work with internal hardware teams to ensure that hardware roadmap continues to deliver best in class mobile GPU performance for both graphics and compute workloads.

Requirements

Bachelor's Degree or foreign equivalent in Computer Science, Computer Engineering, Software Engineering or related field and 2 years of experience in the job offered or related occupation.
Equivalent based upon a single or combination of degrees determined to be equivalent to a U.S. Bachelor's.
Developing the performance software infrastructure to allow for deep diving into GPU performance investigations.
Conducting performance analyses of GPUs and of a large variety of applications running on hardware.
Defining and developing the driver software architecture for GPU introspection capabilities.
Working with first and third party developers on tuning GPU workloads, algorithms, and shaders.
Driving and refining software and hardware architecture to maximize GPU performance and software introspection capabilities.
Developing and maintaining software frameworks in C and C++ for characterizing performance of workloads under analysis.
Developing and delivering important GPU workloads for analysis on emerging GPU hardware models.
Developing, delivering, and maintaining tests for verifying correctness and performance of GPU workloads.
Conducting cross-functional studies into performance aspects of GPU architectures, and delivering reports to leadership on the findings and suggesting areas for further investigation and development.
Writing optimized GPU shaders to achieve speed of light performance on targeted GPU architectures.

Responsibilities

Develop the performance software infrastructure of Apple made GPUs.
Perform performance analyses of said GPUs and of a large variety of applications running on hardware, including but not limited to benchmarks, games and pro apps.
Define and develop the driver software architecture for GPU introspection capabilities (including performance counters, shader profiling, tracing, etc.) to enable upper-level software and tools to measure and tune GPU workloads.
Work with 1st and 3rd party developers on tuning GPU workloads, algorithms, and shaders to achieve the best possible performance on iOS platforms.
Drive and refine both software and hardware architecture to maximize GPU performance and software introspection capabilities.
Work with internal hardware teams to ensure that hardware roadmap continues to deliver best in class mobile GPU performance for both graphics and compute workloads.
Develop the performance software infrastructure to allow for deep diving into GPU performance investigations.
Conduct performance analyses of GPUs and of a large variety of applications running on hardware.
Define and develop the driver software architecture for GPU introspection capabilities.
Work with first and third party developers on tuning GPU workloads, algorithms, and shaders.
Drive and refine software and hardware architecture to maximize GPU performance and software introspection capabilities.
Develop and maintain software frameworks in C and C++ for characterizing performance of workloads under analysis.
Develop and deliver important GPU workloads for analysis on emerging GPU hardware models.
Develop, deliver, and maintain tests for verifying correctness and performance of GPU workloads.
Conduct cross-functional studies into performance aspects of GPU architectures, and deliver reports to leadership on the findings and suggesting areas for further investigation and development.
Write optimized GPU shaders to achieve speed of light performance on targeted GPU architectures.