AI/HPC System Architect

Job Title: AIHPC System Architect, Principal Engineer
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:

• As an AI/HPC System Architect, your primary responsibility will be to conceptualize the architecture of next-generation AI and HPC system. This involves leveraging advanced memory to create efficient and high-performance systems. Drawing from your extensive experience in AI and HPC infrastructure design, you will derive design requirements, guide the direction of advanced memory solutions, and continuously monitor industry trends. Additionally, you will foster collaborations with cloud service providers, OEMs, national labs, and other stakeholders to facilitate on-site proof-of-concept initiatives aligned with the proposed infrastructure architecture.

Responsibilities:

• Design next-generation AI and HPC infrastructure that utilizes advanced memory solutions to optimize performance and power efficiency.
• Derive design requirements for advanced memory solutions based on your extensive experience in AI and HPC infrastructure design.
• Continuously monitor industry trends and emerging technologies related to AI and HPC infrastructure from sources such as cloud service providers, OEMs, and national labs.
• Promote and establish collaborative partnerships with customers for on-site proof-of-concept initiatives involving advanced memory solutions, aligning with the proposed infrastructure architecture.
• Provide strategic direction and recommendations for the adoption and integration of advanced memory solutions within the infrastructure.

Qualification:   

•  Ph.D in Electrical and Computer Engineering, or related field with 15+ years of experience in system architecture for large-scale computing, with specific AI focus preferred.
• Strong understanding of compute, memory, and networking bottlenecks in AI systems.
• Deep expertise in AI system design, and knowledge in LLMs, GNN, DLRMs, and other representative AI workloads.
• Background in hardware/software co-design for AI or HPC systems
• Effective collaboration and partnership-building skills for engaging with customers and stakeholders.
• Experience in planning and executing on-site proof-of-concept initiatives to validate infrastructure solutions.
• Excellent communication skills to convey architectural concepts and influence stakeholders.
  
  

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: