Staff Engineer, High-Speed I/O Analog-Mixed Circuit
Samsung Semiconductor · San Jose, CA · DRAM Design Lab (DDL)
About this role
Samsung Semiconductor is hiring a staff-level Hardware Engineer in the software engineering function based in San Jose, CA. The posting calls out experience with Python, LLMs, Machine Learning, Data Analytics. Compensation is listed at $163,000–$253,000 per year.
- Role
- Hardware Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- San Jose, CA
- Department
- DRAM Design Lab (DDL)
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.
Memory IO Lab is part of Samsung’s Memory Business Unit, the industry's all-time DRAM and NAND Flash leader both in technology as well as in volume. Memory IO’s vision is to provide memory interface technology solutions which can be adopted in DDR, LPDDR, GDDR, and more. We are an integral part of Samsung’s paramount R&D innovation engine. We work closely with cross-disciplinary development teams to bring feature innovation to product roadmaps.
Come and join the team that is providing the next generation IO tech solutions to support emerging machine learning applications, data analytics, and edge computing.