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Research Intern - Memory Centric AI Machine (Fall 2025)
San Jose, CA
Job Title: Research Intern - Memory Centric AI Machine (Fall 2025)
Office Location: San Jose, CA
Work Model: Onsite
Duration: September 2025 - December 2025
Work Model: Onsite
Duration: September 2025 - December 2025
At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
Responsibilities:
- Demonstrate feasibility of AI system with advanced memory solutions (HBM, CXL memory)
- Design next-generation AI and HPC systems that utilize advanced memory solutions to optimize performance and power efficiency.
- Derive design requirements for advanced memory solutions based on your extensive experience in AI and HPC infrastructure design.
- Excellent in reading research papers and implementing them to code
Qualifications:
- Accepted or currently enrolled in a PhD program in Computer Science or a related STEM field
- Ph.D. in a relevant field with research experience in AI systems (LLM, GNN)
- Hands-on experience with ML/DL frameworks like TensorFlow/Keras or PyTorch
- Excellent programming skills in Python, CUDA, and C
- Strong knowledge of a memory-storage IO path, including GPU-direct and CXL/PCIe specification
Housing Allowance:
Eligible interns will receive a housing allowance during their internship.
Equal Employment Opportunity:
SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
Compensation:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process.
Pay Range
$25 - $47 USD
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