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Job ID: JR0052920
Job Category: Engineering
Primary Location: Santa Clara, CA US
Other Locations: US, California, Folsom
Job Type: Experienced Hire

GPGPU Architect /Team lead

Job Description

We are looking for people experienced in Graphics Architecture, in particular GPGPU Compute architecture, Performance and Power analysis of Compute workloads and kernels to help define and build the next generation of highly efficient GPU architectures. The role involves understand the emerging new workloads for GPGPU such as Machine Learning/Deep Learning/Compute Vision/Speech and developing highly optimized GPU kernels for such workloads and work with our partner software and enabling teams to help deliver high performant solutions on our GPUs for such workloads. The job involves being an Individual Contributor in doing some of this work hands on and well as setting technical direction and giving leadership to a small team of 4-5 engineers in doing this work. Ensures platform and its components have the best performance and power balance specifically focusing on graphics hardware components. Research and development of next generation platform designs to continually improve the performance. Conducts system analysis on proprietary and competition platforms, develops advanced hardware tuning and overclocking. If you have excellent written and verbal communication skills, have attention to detail and an aptitude to learn and adapt quickly we encourage to apply and have an opportunity to join our team.


Required Skills and Experience:

MS Computer Science Electrical Engineering or related field with 10+ years of experience in GPU design/architecture. A PhD is preferred.

5+ years of experience in building analytical and/or simulation based performance models and/or in Performance Analysis/Perf Debug.

You should have 5+ years of experience with the following:

  • Knowledge and experience in OpenCL/CUDA and other such parallel programming APIs and Strong programming skills required.
  • Knowledge of Deep Learning Algorithms/Networks and Topologies/Frameworks such as Caffe, Torch, TensorFlow, Theano is needed.

Preferred skills and Experience:

Experience in uarch/RTL/Design/process technologies a big plus.

Inside this Business Group

The Platform Engineering Group (PEG) is responsible for the design, development, and production of system-on-a-chip (SoC) products that go into Intel’s next generation client and mobile platforms. PEG strives to lead the industry moving forward through product innovation and world class engineering.

Other Locations

US, California, Folsom

Posting Statement. Intel prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

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