Easter Seals Jobs

Job Description

Are you passionate about computer graphics and disrupting the industry with your innovation? Working with and learning from leading software architects on Intel's latest GPU architecture? Do you love collaborating with diverse teams to help achieve best-in-class visual experiences that enable users to immerse themselves in a new visual future? The Graphics Software Architecture Team, is looking for you.

As a Gfx and GPU System Software Development Engineer your responsibilities will include but are not limited to :

• Developing software to enable specific features, capabilities, solutions, reference platforms, or Intel products.

• Collaborating with cross-functional teams to ensure software compatibility and optimization with Intel's graphic processing units (GPUs).

• Utilizing Embedded Platform experience to drive software development and integration.

• Deep understanding of the graphics pipeline and leveraging this knowledge to enable and optimize performance for GPU, AI/ODML/Multimodel use cases.

• Using C++ for GPU development and demonstrating proficiency in OpenGL and/or Vulkan/Vulkan Compute for AI.

• Leveraging MESA and other relevant tools for debugging and optimizing software performance.

• Contributing to the development of reference platforms and software solutions that showcase the capabilities of Intel GPUs.

• Staying updated with the latest trends and advancements in GPU technology and software development.

The ideal candidate will exhibit the following behavioral traits :

• Ability to drive and improve digital design methodology to achieve high quality visual experiences

• Strong verbal and written communication skills

• Ability to work effectively in a fast-paced, collaborative environment.

• Updated latest advancements in GPU technology and software development practices.

Qualifications

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.

This position is not eligible for Intel immigration sponsorship.

Minimum qualifications:

• Masters degree in Computer Engineering, Computer Science or related field with 6+ years of relevant experience

• Full Stack and System/Embedded Platform experience.

• Experience with graphics APIs such as OpenGL, Vulkan/Vulkan Compute for AI.

• Proficient in using the suite of tools used for debugging across the software stack.

• Strong command of C/C++ programming languages, with a proven track record of developing high-performance GPU software

Preferred qualifications:

• Extensive experience with embedded platforms, along with a comprehensive understanding of the whole stack for graphics, including pCode, firmware, and the Linux kernel.

• Familiarity with MESA or similar open-source software libraries is desirable.

• GPU AI optimizations, Cloud Gaming, Python.

• Experience in Android

Other Locations

US, CA, Folsom; US, CA, Santa Clara

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 here. (https://jobs.intel.com/en/benefits)

Annual Salary Range for jobs which could be performed in the US $169,820.00-$239,750.00

*Salary range dependent on a number of factors including location and experience

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. * Job posting details (such as work model, location or time type) are subject to change.