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Intern, AI Advanced Memory System

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SK hynix America

1mo ago

  • Internship
    Full-time
    Summer Internship
  • Research & Development
    IT & Cybersecurity
  • San Jose
  • Quick Apply

AI generated summary

  • You must be a PhD/MS candidate in CS or related field, with expertise in ML/DL frameworks, advanced Python/CUDA/C skills, and knowledge of memory-storage I/O architecture and protocols.
  • You will demonstrate AI system feasibility with advanced memory solutions, develop production-ready code from research, and optimize memory systems for LLM training and inference.

Requirements

  • PhD or MS candidate in Computer Science or related STEM field
  • PhD candidates: Expected completion by July 2026
  • MS candidates: Expected completion by 2025
  • Demonstrated expertise in ML/DL frameworks (PyTorch, TensorFlow/Keras)
  • Advanced programming proficiency in Python, CUDA, and C
  • Deep understanding of memory-storage I/O architecture, including GPU-Direct technology and CXL/PCIe protocols

Responsibilities

  • Demonstrate feasibility of AI system with advanced memory solutions (HBM, CXL memory)
  • Transform cutting-edge research into production-ready code, with a proven track record of research paper implementation
  • Develop and optimize memory systems for LLM training and inference, focusing on performance and scalability

FAQs

What is the location of the internship?

The internship is located in San Jose, CA.

What is the duration of the internship?

The internship will last from June 2025 to August 2025.

What specific project will the intern be working on?

The intern will be assigned to the AI - Advanced Memory System project.

What are the educational qualifications required for this position?

Candidates should be PhD or MS candidates in Computer Science or a related STEM field.

What programming languages and frameworks should candidates be proficient in?

Candidates should have advanced programming proficiency in Python, CUDA, and C, as well as expertise in ML/DL frameworks such as PyTorch and TensorFlow/Keras.

Will interns receive a housing allowance?

Yes, eligible interns will receive a housing allowance during their internship.

What is the pay range for this internship position?

The pay range for this position is $25.00 to $47.00 per hour, depending on the specific job location.

Is SK hynix America an equal opportunity employer?

Yes, SK hynix America is an Equal Employment Opportunity Employer and provides equal opportunities to all qualified applicants and employees.

What technologies should candidates be familiar with regarding memory-storage I/O architecture?

Candidates should have a deep understanding of memory-storage I/O architecture, including GPU-Direct technology and CXL/PCIe protocols.

Are there any specific expectations regarding PhD candidates' graduation timelines?

Yes, PhD candidates are expected to complete their degree by July 2026.

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SK hynix America

We Do Technology

Manufacturing & Electronics
Industry
201-500
Employees
1983
Founded Year

Mission & Purpose

Semiconductors are essential to all IT products, and its performance often determines the performance of the final products. SK hynix is a global leader in producing semiconductor, such as DRAM, NAND Flash and CMOS Image Sensors. With these technology driven semiconductor products, SK hynix has consistently led the industry and is now the second largest memory chip maker worldwide. IT devices become more pervasive as new imaginative and innovative IT products continue to grab imagination and desires of consumers. SK hynix has enhanced its competency with the best level of technology and a wide range of business portfolios in order to satisfy all those demand from customers. As a member of SK Group*, SK hynix is aiming at becoming the world’s best semiconductor company. SK hynix America Inc. operates as a subsidiary of SK Hynix Inc. *SK Group is one of South Korea's top five industrial conglomerates. It has about 40 affiliated companies, ranging from energy, telecommunications, finance, to construction.