Postdoctoral Research Associate in Neuromorphic Accelerators
Core
Design, implementation, and validation of hardware accelerators for training, fine-tuning, and inference of state-of-the-art AI models using neuromorphic and In-Memory Computing principles.
Role type
Postdoctoral Research Associate (IC)
Builds
Hardware accelerators for enterprise, IoT, and networked systems
Domain
AI hardware, neuromorphic computing, computer architecture
Deliverable
production ML models
Required skills
ASIC/FPGA design, hardware prototyping, large-scale ML model design, neuromorphic/Transformer/state space model experience, algorithm development for energy efficiency, cross-disciplinary collaboration
Preferred skills
Publication record in top-tier AI hardware conferences/journals, tapeout experience
Technologies
Neuromorphic frameworks, In-Memory Computing (IMC), ASIC, FPGA
Responsibilities
Design and develop hardware accelerators for AI model training and inference; Develop and evaluate algorithms for energy-efficient training and inference; Collaborate with cross-disciplinary teams; Publish high-quality research results; Support supervision of PhD and MSc students; Engage with industrial and academic collaborators for technology transfer
Seniority
Postdoctoral, hands-on IC