Ceremorphic AI hardware combines knowledge across many domains, including AI, compilers, computer architecture, analog circuits, and memories.
The candidate would lead the implementation of the architecture and design of memory technologies such as SRAM, Register Files, ROM generators, etc.
Key Requirements
- Fundamental know-how of bit cell and its characteristics (SNM, WM, Cell current, Standby current, data retention, etc.)
- Expertise in process variability and circuit reliability issues that affect power, speed, area, and yield
- Strong understanding of custom circuit design and layout in finFET-based CMOS technologies
- Expertise in critical path modeling using different models (RC, C, Pi, ladder, distributive, etc.)
- Comfortable with scripting languages such as Python or Perl, and the UNIX operating system
- Demonstrated technical leadership skills
- Positive knowledge of semiconductor physics. Knowledge of and affinity to IC technology and IP design is mandatory.