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Fall 2024 GPU ML Performance Architect Co-Op/ Intern

  • Internship
    Full-time
    Off-cycle Internship
  • Santa Clara
  • 2d left

AI generated summary

  • You should have a strong background in GPU architecture, machine learning, and performance optimization, along with relevant programming skills and a passion for technology.
  • You will optimize GPU machine learning performance, analyze benchmarks, develop algorithms, and collaborate with teams to enhance products across various applications.

Requirements

  • Strong programming skills in C/C++ or python
  • Experience with GPU programming
  • Strong understanding of GPU architecture
  • Knowledge of Parallel-Computing or GPUs
  • Familiarity with deep neural network machine learning technologies and modern machine learning programming frameworks
  • Good teamwork and interpersonal skills required
  • Ph.D. or M.S. student in Electrical Engineering or Computer Science/Engineering
  • Hands-on experience with ML workload acceleration on GPUs
  • Understanding of computer architecture
  • Adequate communication, teamwork, and problem-solving skills

Responsibilities

  • - Work on next generation machine learning acceleration
  • - Architecture modeling
  • - Developing Deep Learning GPU kernels for architecture exploration and performance projection

FAQs

What is the job title for the internship opportunity offered by AMD?

The job title is "Fall 2024 GPU ML Performance Architect Co-Op/ Intern."

Where is the internship located?

The internship is located in Santa Clara, CA.

What are the program term dates for this internship?

The program term dates are from August 19 or September 9 to December 13, 2024.

What are the key responsibilities of this Co-op/Intern position?

The key responsibilities include working with the GPU architecture team on next-generation machine learning acceleration, which involves architecture modeling and developing Deep Learning GPU kernels for architecture exploration and performance projection.

What programming skills are required for this internship?

Strong programming skills in C/C++ or Python are required.

Is prior experience in GPU programming necessary for this position?

Yes, experience with GPU programming is one of the key qualifications for this position.

What level of education is preferred for applicants?

AMD is looking for Ph.D. or M.S. students in Electrical Engineering or Computer Science/Engineering.

Are there any benefits provided to interns?

Yes, benefits include healthcare coverage (medical, dental, and vision), paid holidays, a relocation stipend, and education assistance for required Co-op/Intern courses.

Is it a requirement to work onsite?

Yes, this role requires the student to work from the Santa Clara, CA office throughout the duration of the Co-op/Intern term.

What type of experience is beneficial for this internship?

Hands-on experience with ML workload acceleration on GPUs and a strong understanding of computer architecture are beneficial for this internship.

Does AMD offer any support for educational requirements during the internship?

Yes, AMD provides education assistance for required Co-op/Intern courses.

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