We are seeking a highly motivated Front-End Design Engineer (RTL Integration) to join our Artificial Intelligence Hardware Team at EdgeCortix. In this role, you will take ownership of integrating our proprietary Dynamic Neural Accelerator® (DNA) IP and other third-party IPs into complex SoC architectures, contributing directly to the development of our next-generation AI hardware. This is an exciting chance to work at the forefront of AI–hardware co-design and help shape the future of high-performance, energy-efficient edge computing.
About EdgeCortix
At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high efficiency silicon on chip design. Originating from multiple years of research, our unique AI hardware & software co-design principle and the Dynamic Neural Accelerator ® AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bring the power of AI and machine learning to all kinds of devices. Our operations are headquartered in Tokyo,
Japan, with offices in Singapore, Virginia, California in the US. In addition, we are starting a new Design Center in India, located in Hyderabad.
The Team
As an engineering driven company we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters. We have the ambitious goal of enabling cloud-level performance with significantly better energy-efficiency for AI inference at the edge.
Your Role and Responsibilities:
This role is part of the EdgeCortix Artificial Intelligence Hardware Team
- Own the IP integration into ASSP/SOC
- Integrated EdgeCortix DNA IP and other third-party IP integration
- Experience with RTL rule