Principal Engineer, AI System Architect (Hardware)
About the role
The Architecture Research Lab (ARL) focuses on addressing fundamental system-level bottlenecks in modern AI, particularly in memory capacity/bandwidth and system-scale communication. By leveraging Samsung's world-class memory technologies, ARL explores and defines next-generation AI system architectures that deliver step-function improvements in performance, efficiency, and scalability.
Responsibilities
- PhD in Computer Science, Electrical Engineering, or a related field preferred, with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads
- Proven hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation
- Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects
- Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems
- Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions
- Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation
- Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams
- Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities
- Communicate architectural insights and recommendations through clear technical presentations and documentation
Requirements
Ph.D. in Computer Science, Electrical Engineering, or a related field preferred, with 15+ years of experience in system architecture for large-scale computing platforms, with a strong focus on AI workloads
Qualifications
- Hands-on experience developing analytical and event-driven simulation models for system-level performance evaluation
- Deep understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects
- Strong knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems
- Demonstrated ability to translate workload characteristics and modeling results into actionable architectural design decisions
- Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation
- Excellent written, verbal, and presentation communication skills, with the ability to influence technical direction across teams
- Collaborate closely with cross-functional teams in hardware architecture, memory, interconnect, and system engineering to align modeling insights with implementation realities
- Communicate architectural insights and recommendations through clear technical presentations and documentation
Skills
- System architecture for large-scale computing platforms, with a strong focus on AI workloads
- Developing analytical and event-driven simulation models for system-level performance evaluation
- Understanding of AI system hardware architectures, including compute, memory hierarchies, and high-performance interconnects
- Knowledge of modern and emerging AI workloads, including LLMs, DLRMs, and large-scale training and inference systems
- Proficiency in Python, C++, and PyTorch for modeling, analysis, and experimentation
- Excellent written, verbal, and presentation communication skills
- Collaboration with cross-functional teams in hardware architecture, memory, interconnect, and system engineering
- Communication of architectural insights and recommendations
Benefits
Base Pay Range: $219,000—$351,000 USD
We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones.
In addition to the usual Medical/Dental/Vision/401k, our inclusive rewards plan empowers our people to care for their whole selves. An investment in your future is an investment in ours. Give Back With a charitable giving match and frequent opportunities to get involved, we take an active role in supporting the community.
Enjoy Time Away You’ll start with 4+ weeks of paid time off a year, plus holidays and sick leave, to rest and recharge.
Care for Family Whatever family means to you, we want to support you along the way—including a stipend for fertility care or adoption, medical travel support, and virtual vet care for your fur babies.
Prioritize Emotional Wellness With on-demand apps and free confidential therapy sessions, you’ll have support no matter where you are.
Stay Fit Eating well and being active are important parts of a healthy life. Our onsite Café and gym, plus virtual classes, make it easier.
Embrace Flexibility Benefits are best when you have the space to use them. That’s why we facilitate a flexible environment so you can find the right balance for you.
Pay
$219,000—$351,000 USD
Schedule
Daily onsite presence at our San Jose office in alignment with our Flexible Work policy