Project Focus
Develop an FPGA-driven, ferroelectric diode-based compute-in-memory prototype to optimize AI workloads for size-, weight-, and power-constrained platforms.
Responsibilities
- Assist in designing and prototyping AI hardware accelerators.
- Conduct performance evaluations of FPGA-based hyperdimensional computing models.
- Support AI algorithm implementation for edge computing applications.
Qualifications
- Background in computer engineering, AI hardware, or embedded systems.
- Experience with FPGA development and AI inference optimization preferred.