AI System Engineer
Posted 24 Apr 2025
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Field of studyElectrical and Computer Engineering
Study levelMaster's or higher
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 System Engineer
Office Location: San Jose, CA
Job Type: Full-Time
Work Model: Onsite
Job Summary:
- We are seeking passionate, self-motivated, and creative engineers to join our AI Memory Solution team, covering AI HW/SW co-design research, system modeling, and performance analysis of next-generation AI memory and storage system architecture. We are responsible for delivering cutting-edge, custom SoC/memory interface design for memory and storage applications that can perform complex, high-performance, and low power computation most efficiently.
- As a AI system engineer with a focus on solution hardware development, you will be responsible for designing, developing, and optimizing hardware architecture for our next-generation AI memory solutions. You will work closely with our system software and hardware teams to ensure seamless integration and optimal performance of our energy-efficient AI computing platform.
Responsibilities:
- Design and develop next-generation memory solution architecture and hardware prototypes for energy-efficient AI/ML computing infrastructure.
- Responsible for logic design/Register-Transfer Level (RTL) entry, design quality (LINT, CDC, RDC, power, etc.), and timing closure of high-performance digital Intellectual Property (IP)
- Collaborate with system software engineers to ensure HW/SW co-optimization.
- Deliver memory subsystem and IP designs, including microarchitecture specification, RTL logic design, verification, and FPGA prototypes
- Develop and maintain hardware specifications, technical documentation, and test plans.
- Participate in technical discussions and provide input on hardware system design and architecture with industry ecosystem partners