Fall 2024 GPU ML Performance Architect Co-Op/ Intern

AMD

Santa Clara, CA

Job posting number: #7266289 (Ref:amd-50892)

Posted: July 25, 2024

Job Description



WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_




As a Co-op student, you can make an immediate contribution to AMD's next generation of technology innovations. We have a dynamic, high-energy work environment, filled with expert employees, and unique opportunities for developing your career. You will have the opportunity to connect with AMD leaders, receive one-on-one mentorship, attend amazing networking events and much more. With AMD, you can get hands-on experience that will give you a competitive edge in the workforce.
Get a jumpstart on an exciting career - apply today!

 

Fall 2024 GPU ML Performance Architect Co-Op/ Intern

 

JOB LOCATION:

Santa Clara, CA

 

ONSITE: This role requires the student to work from the Santa Clara, CA office throughout the duration of the Co-op/Intern term. First-time Co-ops/Interns should work full-time and onsite.

 

PROGRAM TERM:
Fall: August 19 or September 9 - December 13, 2024

 

WHAT YOU’LL BE DOING:

AMD is looking for an individual to join our GPU architecture team to work on next generation machine learning acceleration. The job includes architecture modeling and developing Deep Learning GPU kernels for architecture exploration and performance projection.

KEY QUALIFICATIONS:

  • Strong programming skills in C/C++ or python
  • Experience with GPU programing
  • 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

 

 

WHO WE’RE LOOKING FOR:

  • 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.

 

BENEFITS:

  • Healthcare coverage, dental, and vision
  • Paid holidays
  • Relocation stipend
  • Education assistance for required Co-op/Intern course



At AMD, your base pay is one part of your total rewards package.  Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here.

 

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.





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Job posting number:#7266289 (Ref:amd-50892)
Application Deadline:Open Until Filled
Employer Location:AMD
Santa Clara,California
United States
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