AI/HPC System Engineer
Posted 9 May 2025
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 6+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science, Electrical Engineering
Study levelDoctorate
About SK hynix America:
At SK hynix America, we are at the forefront of semiconductor innovation. As a global leader in HBM, DRAM, and NAND flash technologies, we develop the advanced memory solutions powering everything from advanced mobile technology to massive AI data centers. With major investments in the U.S. and a leading position in the global AI revolution, we build the critical infrastructure of the digital landscape and remain committed to sustainable operations. We invite innovative minds to be part of our journey. Here, you will be part of a collaborative team pioneering the next generation of memory technologies, expanding our market footprint, and defining the future of computing.
Work Model: Onsite
Job Title: AI/HPC System Engineer
Office Location: San Jose, CA
Job Type: Full-Time
Work Model: Onsite
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.
- AI/HPC System engineer will be responsible for designing, developing, and optimizing next-generation memory solutions and system software for energy-efficient AI computing platform.
- AI/HPC System 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.