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Senior NPU Architect

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing, and they are seeking a Senior NPU Architect to join their Architecture Team. In this role, you will collaborate with a team to define and optimize key features in their AI accelerator, focusing on performance and efficiency for the latest AI/ML workloads.

AI Runtime Engineer

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. They are seeking an AI Runtime Engineer to develop and optimize the execution stack for their next-generation AI accelerator, focusing on low-latency, high-performance runtime software for deep learning models.

AI Compiler Engineer

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. They are seeking a highly skilled and experienced AI Compiler Engineer to develop and optimize graph compilers for AI and ML workloads, collaborating with hardware architects and AI researchers to enhance performance and enable efficient model deployment.

AI Research Engineer

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing, seeking an experienced AI Research Engineer. The role involves optimizing deep learning models for deployment on edge AI platforms, focusing on model compression, quantization strategies, and efficient inference techniques.

LLM Inference Deployment Engineer

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. They are seeking an LLM Inference Deployment Engineer to optimize, deploy, and scale large language models for high-performance inference on energy-efficient AI accelerators.

Embedded SW Engineer

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing, and they are seeking an Embedded SW Engineer to develop firmware for their Edge AI processors. The role involves designing and developing core firmware and requires strong communication skills to collaborate with various teams.