Principal Engineer, CPU Architecture & Performance Research
Samsung Semiconductor · San Jose, CA · Architecture Research Lab (ARL)
About this role
Samsung Semiconductor is hiring a principal-level Research Scientist in the machine learning function based in San Jose, CA. The posting calls out experience with Python, C, LLMs, Machine Learning. Compensation is listed at $219,000–$351,000 per year.
- Role
- Research Scientist
- Function
- machine learning
- 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.
Principal, CPU Architecture & Performance Research Engineer
What You’ll Do
Architecture Research Lab is seeking Principal CPU Architecture & Performance Engineer to lead the definition, analysis, and optimization of next-generation CPU microarchitectures (RISC-V core). This role is focused on end-to-end performance: from architectural trade-offs and workload characterization to micro-architectural modeling, simulation, and silicon bring-up correlation.
You will work closely with architecture, design, compiler, and system teams to drive performance and efficiency across a broad set of real-world workloads
Location: Daily onsite presence at our San Jose office in alignment with our Flexible Work policy