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Intel GPU/AI Architect in Santa Clara, California

Job Description

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.

The GPU Competitive Analysis (GPA) team is looking for a highly motivated individual to analyze competitive offerings of 3D/AI graphics IP and how they compare to our solutions. Come join the team that helps shape the direction of every Intel product throughout our roadmap and provides the analytical competitive assessment of our product roadmap versus the competition.

You will be responsible for understanding the graphics/AI capabilities for competition including SOCs and discrete graphics vendors, industry trends in this domain, and how competitive products will evolve in the long term. You will use these comparisons along with analytical data to drive changes throughout our roadmap.

Power measurements, validation, analysis of 3D graphics and AI workload behavior, performance modeling, memory sensitivity study will be part of your day-to-day activities. Power/Performance modeling will be a key deliverable along with setting segment specific targets for future intel products.

You will be responsible for characterizing new graphics gaming workloads and AI use-cases and hardware. You will work with our dynamic team on some of the following:

  • Create new methodologies to measure performance on GPUs.

  • Analyze performance metrics and create models for product performance.

  • Examine the next generation of workloads on which our products must excel to be successful.

  • Contribute to the feedback our team delivers to design, marketing and architecture teams on the performance of future products.

  • Performance/Power modeling for unique use-case/scenarios that drive our roadmap portfolio.

You will gain experience in workload characterization, hardware characterization and performance analysis on a variety of hardware and software.

The most successful candidates are good collaborators and are eager to engage in new projects and learn new things.

Behavioral traits that we are looking for:

  • Handle multiple tasks simultaneously.

  • Excellent communication skills and ability to present complex issues with clarity to drive decisions, self-motivated and self-directed.

  • Good cross-functional teamwork

  • Excellent problem-solving skills

  • Ability to effectively work with a cross geo team of engineers, planners and technicians through planning, development, design while delivering results

This position is not eligible for Intel immigration sponsorship.

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.

Minimum Qualifications:

Bachelors Degree in Computer Science, Electrical Engineering, Computer Engineering or any related STEM degree and 9 years of industry experience, or

Masters Degree in in Computer Science, Electrical Engineering, Computer Engineering or any related STEM degree and 6 years of industry experience

Industry experience should be in 3 or more of the following:

  • Performance and Power modeling and/or Graphics/AI workload analysis

  • Graphics and compute architecture, validation concepts, power and performance methodologies, and debug process flows.

  • Programming languages, scripting and markup languages (Python, Pearl, Ruby, JSON, XML, etc.), and familiarity with power measurement tools (DAQs, MM, O-scope)

  • Hands-on experience with industry standard 3D/AI benchmarks

  • Power delivery study, Voltage-Freq analysis, Thermal analysis, leakage characterization is a bonus

Preferred Qualifications:

  • Experience with performance monitoring tools, such as VTune, GPA, or other performance optimization tools.

  • Experience optimizing code for performance.

  • Experience with C, C++, Python or statistics languages like R.

Inside this Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Other Locations

US, OR, Hillsboro; US, CA, Folsom

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 US, California: $162,041.00-$259,425.00

*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. In certain circumstances the work model may change to accommodate business needs.

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