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Advanced hardware and software for energy-efficient AI computing

Co-Founder and Chief Operating Officer

Chief Technology Officer (CTO)

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Principal Solutions Engineer

EnCharge AI develops advanced AI hardware and software systems for edge-to-cloud computing. The Principal Solutions Engineer will lead strategic customer and partner solution development, from proof-of-concept through deployment, by optimizing AI workloads and translating them into high-performance solutions on EnCharge platforms.

Senior HRIS Analyst

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. The Senior HRIS Analyst role is responsible for leading the implementation of a new HRIS platform and ensuring its long-term stability and integration with other business systems.

Senior NPU Architect

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. They are seeking a Senior NPU Architect to 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.

LLM Inference Deployment Engineer

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

AI Runtime Engineer

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing, seeking an AI Runtime Engineer to develop and optimize the execution stack for their next-generation AI accelerator. The role involves creating low-latency, high-performance runtime software for deep learning models while collaborating with hardware and AI framework teams.

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 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.

Research Engineer, AI Models

EnCharge AI is building the next generation AI platform focused on improving compute energy efficiency for AI workloads. They are seeking a Research Engineer to enhance AI model quality and efficiency by developing benchmarking frameworks and fine-tuning pipelines, while collaborating with hardware teams to optimize performance.

AI Research Engineer

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

Embedded SW Engineer

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. They are seeking an Embedded SW Engineer to develop firmware for Edge AI processors, requiring a strong understanding of computer architecture and operating system concepts.