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Intern will research and develop next-generation memory architectures while collaborating with teams to optimize memory-centric systems for enhanced computing performance.
Job Title: Intern - Processing-in-Memory (Summer 2026)
Office Location: San Jose, CA
Work Model: Onsite
Duration: May 2026 - July 2026
Work Model: Onsite
Duration: May 2026 - July 2026
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.
Position Summary:
We are seeking a highly skilled and motivated Next-Generation Memory Solution Engineer to drive innovation in energy-efficient memory technologies. The ideal candidate will work on the research, development, and optimization of advanced memory architectures that integrate processing capabilities for enhanced computing performance.
Responsibilities:
- Research and develop next-generation memory architectures and solutions to improve computational efficiency.
- Design and optimize memory-centric computing systems for AI, HPC, and data-intensive applications.
- Collaborate with hardware and software teams to integrate next-generation memory solutions into existing and future computing platforms.
- Develop memory access patterns, data flow optimizations, and power-efficient architectures for memory solutions.
- Work on memory controller design, data movement optimization, and system-level performance analysis.
- Conduct benchmarking and validation of new memory technologies in real-world applications.
- Stay up-to-date with industry trends in next-generation memory, AI accelerators, and computing architectures.
- Engage with research communities, publish findings, and contribute to technical conferences and patents.
Minimum Qualifications:
- Master's degree in Electrical Engineering, Computer Engineering, or a related field.
- Strong understanding of memory architectures (e.g., DRAM, HBM) and their role in modern computing.
- Knowledge of hardware/software co-design principles and memory hierarchy optimizations.
- Proficiency in C/C++, Python, or related programming languages.
- Familiarity with simulation tools for memory performance analysis and system modeling.
Preferred Qualifications:
- Ph.D. in a relevant field with research experience in Processing-in-Memory (PIM) or near-memory computing.
- Experience with AI/ML accelerators, FPGA prototyping, or custom hardware design.
- Understanding of parallel computing, GPU architectures, and HPC.
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
$26—$50 USD
Top Skills
C/C++
Python
SK hynix San Jose, California, USA Office
3101 N. 1st St, San Jose, CA, United States, 95134
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