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WHO WE ARE
Platform Enabling is the leading edge of all new platform driver development across integrated and discrete graphics.
Development is not limited to a specific area of functionality in the driver - a successful Platform Enabling engineer will need to be able to work across all areas of the graphics driver functionality (Display, Core/MM, SRIOV, GuC/PnP, Media, etc.) to adapt existing driver functionality to HW changes in upcoming platforms.
Platform Enabling is the front line of Linux Graphics SW Power On execution for all platforms both client side and server side. Platform Enabling works across all phases of a program, responsible for initial pre-silicon (simulation and emulation) bring-up of the driver, to first silicon Power On execution, to post-silicon development and bug fixing on HW.
A successful Platform Enabling engineer will need to be comfortable working on the internal driver to meet needs across pre-silicon and early HW enabling for Intel internal partners business units and external Intel partners, as well as being comfortable working directly with the upstream community and maintainers to upstream new platform patches and coordinate implementation of significant driver changes.
This position is not eligible for Intel immigration sponsorship.
You must possess the below 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.
Minimum Qualifications
Bachelor's Degree in Electrical Engineering, Computer Engineering, or a related field with 6+ months relevant experience or Master's degree in the same fields.
Relevant work experience should be of the following:
Preferred Qualifications:
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Experienced Hire
Shift 1 (United States of America)
US, Oregon, Hillsboro
US, California, Folsom
The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.
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.
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We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $111,030.00-211,200.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
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. * Job posting details (such as work model, location or time type) are subject to change.
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