Senior GPU Software Engineer: Graphics, AI & Compute

Intel Corporation

Folsom (CA)

On-site

USD 129,000 - 245,000

Full time

7 days ago
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Job summary

Intel Corporation in California is seeking a GPU Software Development Engineer to work at the intersection of hardware and software, contributing to the development, validation, debugging, and optimization of GPU technologies across graphics, media, AI, and compute workloads. You will collaborate with software, hardware, architecture, and validation teams to ensure reliability and performance.

The role emphasizes post-silicon validation, silicon bring-up, and debugging across platforms, with

Qualifications

  • Bachelor's degree in CS/CE/EE with 3+ years of relevant experience.
  • Or Master's degree with 3+ months of educational or work experience.
  • Experience in Python programming.
  • Experience in GPU software development and/or validation.
  • Experience with post-silicon validation, silicon bring-up, or hardware/software debug activities.

Responsibilities

  • Develop, validate, debug, and optimize GPU software across graphics, media, compute, and AI workloads.
  • Support post-silicon bring-up and validation activities to ensure feature functionality, platform stability, and product quality.
  • Investigate and root-cause complex hardware, software, and system-level issues across GPU platforms.
  • Collaborate with software, hardware, architecture, and validation teams to resolve technical challenges and improve platform readiness.
  • Develop and maintain software, tests, automation, and debug tools using Python.

Skills

Python
GPU software
Post-silicon validation

Education

Bachelor's in CS/CE/EE with 3+ years
Master's in CS/CE/EE with 3+ months

Tools

Windows OS
Kernel/driver experience

Job description

Intel Corporation in California is seeking a GPU Software Development Engineer to work at the intersection of hardware and software, contributing to the development, validation, debugging, and optimization of GPU technologies across graphics, media, AI, and compute workloads. You will collaborate with software, hardware, architecture, and validation teams to ensure reliability and performance.

The role emphasizes post-silicon validation, silicon bring-up, and debugging across platforms, with

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