Senior Memory-Centric Performance Architect

Samsung Semiconductor; San Jose (CA); On-site; USD 138,000 - 206,000; Full time

Benefits offered by this job

Flexible Work Policy

Onsite office San Jose

Job summary

Samsung Semiconductor in San Jose, CA is seeking a Senior Engineer for Performance Architecture to model, analyze, and optimize memory-centric computing platforms. You will work across architecture, design, and software teams to explore design spaces and drive efficient, scalable AI/ML workloads.

The role requires a strong background in computer architecture, experience with HPC modeling, and excellent collaboration skills.

Qualifications

• BS/MS/PhD with relevant working experience in silicon development or HPC domains.
• Strong background in computer architecture and modeling of memory-centric systems.
• Excellent communication and teamwork skills.

Responsibilities

• Model the architecture, performance, and power characteristics of Memory Centric Computing platforms.
• Develop and optimize models to explore a large design space.
• Analyze trade-offs within a design space considering various architectural choices.
• Collaborate with architecture, design and software engineers to meet user requirements.
• Conduct R&D in AI/ML workloads and Memory Centric Computing architectures.
• Communicate with stakeholders to ensure on-time, within-budget delivery.

Skills

Computer architecture

High-performance computing

Modeling & analysis

Collaboration

Education

BS in Computer/Electrical Engineering or Computer Science

MS in Computer/Electrical Engineering or Computer Science with 3+ years

PhD (optional) in related field

Job description

Samsung Semiconductor in San Jose, CA is seeking a Senior Engineer for Performance Architecture to model, analyze, and optimize memory-centric computing platforms. You will work across architecture, design, and software teams to explore design spaces and drive efficient, scalable AI/ML workloads.

The role requires a strong background in computer architecture, experience with HPC modeling, and excellent collaboration skills.