Do Something Wonderful!
Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let’s do something wonderful together. Join us, because at Intel, we are building a better tomorrow.
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Who We Are
The GPU Software Engineering Group drives new visual and parallel compute technologies for all market segments from AI, HPC and data center to power efficient mobile markets. The group is a worldwide organization that develops the products and technologies that power a significant part of the GPU market. Our group is a fast growing group with many opportunities for growth.
In this position you will join us in creating disruptive technology and you will acquire invaluable experience, leading to professional growth, and opportunities within this business group or others at Intel.
Who You Are
As a GPU Compute runtime Software Engineer, you will be developing and validating the next generation of low-level compute runtime/user mode driver for Intel GPUs. Responsibilities include development, testing, and analysis of the GPU runtime targeted by software applications and frameworks written in a variety of languages, such as DPC++, C++ and C for internal and external customers, including unit level tests, validation frameworks, and compute benchmarks. Additionally, you may be responsible for developing enhancements, modifications, and corrections to existing software with a constant focus on compute performance, for documenting work and results, and for developing and/or executing project plans and budgets and schedules.
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 Computer Science, Electrical Engineering, Computer Engineering, or a related field with 3+ years of relevant experience
— or —
Master’s degree in the same fields with 2+ years of relevant experience
— or —
PhD in the same fields.
Relevant work experience should be of the following:
Experience working in a software product development team
Experience developing system software for Linux OS
Experience with C++/C programming languages
Experience with parallel programming and/or Network
Experience following software engineering development lifecycle process
Preferred Qualifications:
Experience with GPU runtimes like CUDA or ROCm
Experience with HPC, AI and/or ML software software development
Developing scalable MPI applications
Familiarity with developing applications for discrete GPUs
Experience with open sourcing software
Bash/python/RUST or Go programming
Strong debugging skills
Component and system validation
Experience working in large-scale software development teams and projects
Working experience developing system software for Windows OS
Experience with PCIe protocols and configuration space
Experience developing Kernel model driver and/or Firmware for network devices
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://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003
Annual Salary Range for jobs which could be performed in the US:
$126,420.00-239,750.00 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.