GPU Architect
IntelAbout the role
Job Details:
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.
Want to learn more? Visit our YouTube Channel or the links below!
Who We Are
You'll be working within the GIA Architecture group (Graphics and AI Architecture) who develops and architects Intel's next generation shader core. This team drives end to end architecture specifications across graphics and compute IP for highly scalable SOC's.
Who You Are
Your responsibilities may include, but are not limited to:
Develops and drives end-to-end GPU architecture specifications across graphics, compute, media, or display for highly optimized, modular, and scalable GPU.
Conducts competitive analysis and standards efforts, industry trends, and customer requests to develop hardware and software feature roadmap meeting platform needs.
Ensures interoperability of hardware and software throughout the product life cycle.
Drives GPU functionality, connectivity, configuration, performance, timing, power, and area goals.
Evaluates feasibility tradeoffs and explores and defines new approaches and novel architectures for GPU.
Delivers optimized GPU for multiple segments spanning from ultralow power through client and into high performance GPU, supercomputer, and customized GPU offerings.
Develops testing approach and preliminary test plans, performs behavioral and/or performance modeling of new features and configurations, and conducts analysis of results using advanced statistics and data predictions for benchmarking and determining ROI of areas for improvement.
Provides experimental/proofofconcept changes for proposing design alternatives meeting performance, power, area, and timing constraints.
Reviews, challenges, and influences crossfunctional roadmaps and defines technology targets for future GPUs.
Collaborates with architects, design engineers, verification engineers, and research teams to improve the overall design of GPU and overcome performance bottlenecks and constraints.
Works hand-in-hand with pre-silicon and post-silicon teams to debug, root cause, and identify workarounds and solutions for critical failures.
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:
Bachelor's degree in Electrical/Computer/Software Engineering, Computer Science or any related field with 5+ years of relevant experience, OR Master's degree in Electrical/Computer/Software Engineering, Computer Science or any related field with 3+ years of relevant experience, OR PhD in Electrical/Computer/Software Engineering, Computer Science or any related field with 1+ years of relevant experience.
Relevant experience should be any 3 of the following:
Experience in GPU and/or CPU design
Experience in Architecture/Microarchitecture
Experience in low power design
Experience in performance analysis and attainment
Preferred Qualifications:
Graphics and 3D programming
Experience in AI/ML algorithms
Experience in ISA (Instruction Set Architecture) definition
Expertise in C++, Python, RTL design
Job Type:
Experienced HireShift:
Shift 1 (United States of America)Primary Location:
US, California, FolsomAdditional Locations:
US, Arizona, Phoenix, US, California, Santa Clara, US, Oregon, Hillsboro, US, Texas, AustinBusiness group:
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