GPU Software Development Engineer

3 days ago

Bengaluru, Karnataka, India Intel Full time

Develops and/or validates software that enables Intel GPUs. Scope can spans the entire stack, from firmware and device drivers through APIs and the application layer, and may also include the tools, infrastructure, and technologies necessary to develop, profile, optimize, and productize Intel GPUs or graphics/GPGPU software solutions.

*Qualifications:*

Minimum qualifications:

  • Bachelor''s degree in software engineering, Computer Science, Computer Engineering, Electronics/Electrical Engineering
  • 5+ years of experience working in large scale software product development teams and projects.
  • 2+ years of experience in: C programming.
  • Understanding of Linux Operating system architecture and device driver model validation.
  • Understanding Linux Kernel Memory Management Test development for device drivers.
  • Basic understanding of Operating system architecture, device driver model and memory management, DRM open-source graphics.
  • Have experience with device drivers'' validation and debugging.
  • Experience with test code issue debugging and fixing.

Preferred Qualifications:

  • Master''s degree in software engineering, Computer Science, Computer Engineering, Electronics/Electrical Engineering with 4+ years of industry experience working in large scale software product development teams and projects.
  • 2+ years of Linux DRM subsystem and graphics SW stack.
  • Familiarity with Linux kernel open-source contributions and practices.
  • Experience with Linux Kernel driver validation.
  • Experience in developing, reviewing, and implementing test plans.
  • Experience in test results analysis and test reporting.
  • Experience in bug tracking and assessment.
  • Experience in root cause analysis and debugging issues.
  • Experience in Bug Escape Analysis .
  • Experience with scripting to use/build/fix automation.
  • Experience in handling customer issues, fixes and releases.
  • Familiar with validation tools, quality improvements and risk assessment.
  • Knowledge of software validation concepts and coverage analysis tools.

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