Silicon Validation Software Engineer - GPU IP Validation and Integration

Cupertino, CA, US • Posted 1 day ago • Updated 1 hour ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Integrated Circuit
  • Video
  • File Systems
  • Caching
  • Kernel Programming
  • Embedded Systems
  • IP
  • Intellectual Property
  • Firmware
  • Thread
  • SIMD
  • Electrical Engineering
  • Computer Engineering
  • OpenGL
  • CUDA
  • Image Processing
  • C
  • C++
  • Machine Learning (ML)
  • GPU
  • Python
  • GNU
  • Operating Systems
  • Computer Architecture
  • Writing
  • Debugging
  • System On A Chip
  • Computer Hardware

Summary

Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices! Join a team of expert software engineers with diverse backgrounds (graphics, video encoding, video processing, file systems, CPUs and caching, kernel programming, embedded systems) to develop graphics validation software and integrate it into system level test environment.

You will be writing shaders that stress the GPU and cause high bandwidth traffic to and from the memory subsystem. You will apply your deep understanding of GPU architecture to write tests that stress the pipeline and exercise the interaction between the GPU and different IP blocks on the SoC. You will use the necessary driver and firmware APIs to compile shaders and prime operations to move data around in the SoC using the GPU threads/SIMD groups. You will understand the different levels of GPU memory hierarchy (Shared, Global, etc.) You will debug SoC software and hardware issues, and perform system level validation.

A minimum of a bachelor's degree in electrical engineering, computer engineering, or related field.

Experience with Graphics, OpenGL, and CUDA\nExperience with image processing, memory hierarchies, and compilers\nStrong C/C++ programming skills\nImplement and run ML/LLM workloads for GPU characterization\nProficient in Python and GNU Make\nDeep understanding of compute systems, operating systems, and computer architecture\nPassionate about writing code close to the hardware, and debugging\nYou enjoy the validation mentality: meticulous, curious, and persistent.\nUnderstanding of the Display pipeline is a plus.\nIn-depth knowledge and experience in SoC system level validation and debugging of SoC software and hardware issues.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 7218992b029010f7a476494feb08afc0
  • Posted 1 day ago
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