System SW Engineer, Sr. Staff

Job Title: System SW Engineer, Sr. Staff

Office Location: San Jose, CA

Job Type: Full-Time

Work Model: Onsite

      
About SK hynix America
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.

Job Summary:

• This role will be responsible for assuring SK hynix emerging technology leadership to be maintained and leading the next generation of memory-centric architecture using your expertise in computer system and SW technologies including open source tools to demonstrate benefits and use cases.
• System software engineer will be responsible for designing, developing, and optimizing next-generation memory solutions and system software for energy-efficient AI computing platform.
• System software engineer will work closely with our hardware and software teams to ensure seamless integration and optimal performance of our next-generation AI memory solutions

Responsibilities:

• Individual technical contributor within the research team focused on next generation storage/memory systems.
• Design and develop next-generation memory solution prototype and system software for energy-efficient AI/ML computing infrastructure, including memory management, cache hierarchy, and data transfer protocols.
• Collaborate with hardware architects to ensure optimal hw/sw co-design and integration.
• Develop and maintain system software frameworks and APIs for AI system infrastructure.
• Optimize system software for performance, power efficiency, and scalability.
• Develop and maintain documentation, technical specifications, and test plans for system software.
• Participate in technical discussions and provide input on system software design and architecture with industry ecosystem partners
• Stay up-to-date with industry trends and emerging technologies in AI, memory systems, and system software.
• Verbal/written communication with both internal and external collaborator

Qualifications:   

•  Ph.D. in Computer Science/Electrical Engineering or 6+ years of experience in system software development, with a focus on memory system architecture and AI infrastructure.
• Strong understanding of computer architecture, memory systems, and system software design.
• Experience and familiarity with Python/C/C++ programming languages
• Knowledge of operating systems, device drivers, and system programming.
• Good working knowledge or experience in GPU architecture and CUDA programming
• Excellent problem-solving skills, with the ability to debug complex system software issues.
• Strong communication and collaboration skills, with the ability to work with cross-functional teams.
  
  

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. 

 

Compensation: