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Advanced hardware and software for energy-efficient AI computing

Co-Founder and Chief Operating Officer

Chief Technology Officer (CTO)

EnCharge AI Receives Frost & Sullivan's 2025 Global Technology Trailblazer Recognition for Advancing Analog AI Compute Innovation

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Embedded Software Engineer

EnCharge AI develops advanced AI hardware and software systems for edge-to-cloud computing. The Embedded Software Engineer will develop core firmware for Edge AI processors, validate system-on-chip IP blocks, integrate device drivers, and collaborate with Runtime, Hardware, and Architecture teams.

Embedded SW Engineer

AI Runtime Engineer

EnCharge AI develops advanced AI hardware and software systems for edge-to-cloud computing. The company is seeking an AI Runtime Engineer to develop and optimize low-latency runtime software for executing deep learning models on specialized AI accelerators, collaborating with hardware, compiler, and AI framework teams to improve inference and training performance.

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 of architects and engineers to define and optimize key features in their AI accelerator, contributing to the design of a holistic AI HW/SW solution for the latest AI/ML workloads.

Principal Solutions Engineer

EnCharge AI develops advanced AI hardware and software systems for edge-to-cloud computing. The Principal Solutions Engineer will lead customer and partner solution development, architecture, optimization, and deployment for the company’s AI acceleration platform, while serving as a technical advisor and influencing product roadmaps. The role covers engagements from technical discovery and proof-of-concept through production deployment, as well as ecosystem development and technical enablement.

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.