Senior Staff Design Automation Engineer
Groq- Full Time
- Senior (5 to 8 years)
This role within the Hardware team at Untether AI focuses on utilizing FPGA-based platforms, hardware emulation systems, and prototyping environments to validate pre-silicon designs. The successful candidate will be instrumental in ensuring the functionality, performance, and reliability of Untether AI's system-on-chip (SoC) designs before they transition to silicon.
Enhances AI inference with at-memory computing
Untether AI enhances the speed and efficiency of AI inference workloads using at-memory computing. This method places the compute element next to memory cells, which boosts compute density and accelerates AI inference for various neural networks, such as those used in vision, natural language processing, and recommendation systems. The company targets businesses that rely on AI technologies and need high-performance computing for inference tasks. Their products, including the runAI200® devices and tsunAImi® accelerator cards, are designed to deliver exceptional performance, with the tsunAImi® card offering over 2 PetaOps. This allows businesses to optimize their AI workloads while maintaining a compact PCI-Express form factor. Untether AI's goal is to provide efficient and cost-effective solutions for companies looking to enhance their AI applications.