GPU Linux Kernel Software Engineer

2 weeks ago

Hyderabad, India Intel Full time

Job Description


Are you interested in computer graphics and the opportunity to work with the Linux software engineering team on Intel's leading-edge Graphics/Compute products? Come join us.

WHO WE ARE :

The GPU and System Software Engineering organization is responsible for developing Linux drivers and technology for Intel's Graphics/Compute products, for data center and client. We commit quality code to drive open source software reliability, accessibility, security and performance. This is a place where people do meaningful work and have fun doing it. We are looking for brilliant, talented individuals to join us.

WHAT YOU WILL DO :

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.

Use your technical skills to dive deep into Intel's Linux GPU SW stack and open source kernel drivers, contributing toward the release of industry-leading features for Intel's integrated and discrete graphics/compute products. Work directly with open source communities and across business units within Intel. Perform design, development, validation, documentation, and power and performance analysis. Work in a diverse team environment and with others in cross-site organizations

Qualifications


A Bachelor's degree in Software Engineering, Computer Science, Computer Engineering or Electrical/Electronics Engineering with 3+ years' industry experience working in large scale software product development teams and projects

OR

A Master's degree in Software Engineering, Computer Science, Computer Engineering or Electrical/Electronics Engineering

Skills:

Strong C/C++ programming Skills. Experience developing system software for Linux OS. Understanding of Linux Operating system architecture and device driver model. Hands-on knowledge in the software engineering development lifecycle process. Debugging and system integration skills. Preferred and beneficial Qualifications: (Having one or more of the following qualifications is preferred). Familiarity with Linux kernel open source contributions and practices. Familiarity with Linux DRM subsystem and graphics/compute SW stack. Familiarity with Linux power management flows and/or power saving hardware technologies. Familiarity with 3D driver development, Vulkan/OpenGL APIs, and contributing to open source Mesa 3D project. Experience with HPC, AI and/or ML software Developing scalable MPI applications.

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.

Benefits


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

Working Model


This role will be eligible for 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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