GPU KMD Software Engineer

Job Description

Do Something Wonderful!

The world is transforming - and so is Intel®. Intel® is a company of bold and curious inventors and problem solvers who create some of the most astounding technology advancements and experiences in the world. With a legacy of relentless innovation and a commitment to bring smart, connected devices to every person on Earth, our diverse and brilliant teams are continually searching for tomorrow's technology and revel in the challenge that changing the world for the better brings. We work every single day to design and manufacture silicon products that empower people’s digital lives. Come join us and do something wonderful!

As a GPU Linux Kernel Mode Driver Software Engineer in the DCAI (Data Center and Artificial Intelligence) software team you will develop and validate the software that enables Intel® GPUs for data center, client and edge products, for AI, compute and gaming. The scope of your work will range from supporting pre-silicon hardware verification, through post silicon driver development and validation, profiling and optimization, to productization and customer support.

The ideal candidate will have the following skills in addition to the qualifications listed below:

·Self-driven and results-oriented, capable of effectively working multiple tasks.

·Understanding of Linux Kernel.

·Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.

Qualifications

Minimum Qualifications:

You must possess the minimum qualifications 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.

Bachelor's Degree in Computer Science, Software Engineering, or a related discipline and 4+ years of relevant experience or

Master's Degree in Computer Science, Software Engineering, or a related discipline and 3+ years of relevant experience.

• 3+ years of Linux kernel development and debugging experience.
• 3+ years of Open-Source project/community interaction and contribution experience.
• 4+ years of experience with Systems programming experience in C.
• 3+ years of Git experience.

Preferred Qualifications:

• Direct contribution to upstream Linux kernel
• Experience in Linux HW driver development - directly interacting with/driving HW.
• Experience with device memory management.
• Experience with GPU command execution.
• Experience with contributions to the Linux DRM subsystem and drivers.
• Familiarity with all components in a typical Open-Source Graphics/Compute/Media SW stack.
• Experience working in simulation and emulation environments.

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.

Other Locations

US, Hillsboro

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.