SK hynix America is seeking to drive innovation in energy-efficient memory technologies by researching, developing, and optimizing advanced memory architectures that integrate processing capabilities for enhanced computing performance.
Requirements
- 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.
- 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.
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.
Other
- Master's degree in Electrical Engineering, Computer Engineering, or a related field.
- Eligible interns will receive a housing allowance during their internship.
- 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.
