Staff Engineer, AI System Architect (Hardware)
Samsung Semiconductor · San Jose, CA · Architecture Research Lab (ARL)
About this role
Samsung Semiconductor is hiring a principal-level Principal Engineer in the software engineering function based in San Jose, CA. The posting calls out experience with Python, PyTorch, LLMs, Performance Optimization. Compensation is listed at $163,000–$253,000 per year.
- Role
- Principal Engineer
- Function
- software engineering
- Level
- principal
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- Architecture Research Lab (ARL)
More roles at Samsung Semiconductor
Job description
from Samsung Semiconductor careersPlease Note:
To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period.
Advancing the World’s Technology Together
Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you’ll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what’s possible and powering the future.
We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We’re dedicated to empowering people to be their true selves. Together, we’re building a better tomorrow for our employees, customers, partners, and communities.
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.
We are seeking a Senior Staff AI System Architect who will play a key role in bridging AI workloads, system architecture, and hardware design. In this role, you will develop system-level performance models, drive architecture-level design decisions, and propose forward-looking AI system architectures that shape Samsung’s long-term AI platform strategy.