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GPU Software Development Engineer

אריזונה; Remote Job ID JR0258089 Job Category Software Engineering Work Mode Fully Remote Experience Level Experienced

Job Description

We are looking for a GPU software development engineer with a passion for 3D graphics and a track record in system level open-source development. This position would be working on the Intel’s Open-Source 3D Graphics Drivers based on the upstream Mesa project (mesa3d. org). Responsibilities include developing, enhancing, maintaining, writing unit tests, and debugging the user space graphics driver code. The code is mostly C and 100% open and developed using longstanding Mesa project processes.

Develops and/or validates software that enables Intel GPUs. Scope can span 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. The candidate will need to interact with internal customers and the external mesa community. 


Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum Qualifications:
Bachelor's Degree or Master's degree or Ph.D. in Computer Science, Computer Engineering or related field.

  • 10 + years of experience with C or C++ project development.
  • 5 + years of experience with open-source software as determined by a record of successfully contributing to an open-source software community project.

Preferred Qualifications:

  • Familiarity with Linux gaming stack (including Wine, Proton, etc.)
  • Working experience architecting system software for Linux OS
  • Deep technical expertise on Linux Operating system architecture and device driver model
  • Deep technical expertise and contributions on Linux DRM subsystem and graphics/compute SW stack
  • Prior contributions on 3D driver development, Vulkan/OpenGL APIs, and contributing to open-source Mesa 3D project.
  • Good understanding of AI/Machine Learning tools and workflow
  • Experience architecting overall end-to-end Linux solutions.

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Annual Salary Range for jobs which could be performed in US, Colorado, New York, Washington, California: $144,501.00-$217,311.00
*Salary range dependent on a number of factors including location and experience

Working Model

This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.

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