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Nexa AI

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About

Nexa AI is a development platform specializing in small multimodal models and accelerated edge inference, optimized for any device. It enables building high-performance AI apps on-device without model compression or edge deployment hassles. Nexa AI supports state-of-the-art models from DeepSeek, Llama, Gemma, Qwen, and Nexa's own Octopus, OmniVLM, and OmniAudio. It offers industry-leading on-device AI expertise, enabling developers to deploy optimized, local AI in hours, not months. The platform's features include multimodal model support, model compression, and local on-device inference.

Platform
Web
Task
ai development

Features

sota multimodal models

enterprise-grade support

accelerate time-to-market

deploy on any device

<1s processing time

multimodality optimization

model compression and quantization

leading on-device ai accuracy

Job Opportunities

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Nexa AI

AI Research Scientist

Nexa AI: Accelerating Gen-AI tasks on any device. Build high-performance AI apps on-device without the hassle of model compression or edge deployment.

sciencehybridCupertinofull-time

Experience Requirements:

  • Have at least 1 research project related to machine learning in which you played a major role

  • Significant Python, machine learning, research experience

  • Be familiar with C or C++

Responsibilities:

  • Create datasets for potential, powerful capabilities of language models such as function calling and reflection

  • Build tooling and infrastructure to enable efficient fine-tuning experiments on language models

  • Help develop new methods or novel fine-tuning techniques to improve language model behaviors

  • Run experiments that feed into key AI research

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Backend Engineer

Nexa AI: Accelerating Gen-AI tasks on any device. Build high-performance AI apps on-device without the hassle of model compression or edge deployment.

Education Requirements:

  • Minimum BS/MS in Computer Science

Experience Requirements:

  • 2+ years of experience

  • Knowledge of OS internals, compilers, low-power/mobile optimization

  • Experience with low-level code C and frameworks like CUDA, OpenCL

  • Proficiency in multithreading and performance optimization

Other Requirements:

  • Excellent CS fundamentals (data structures, algorithms, coding)

Responsibilities:

  • Write stable, testable infrastructure

  • Develop our suite of SDKs on both Android and iOS

  • Diagnose and fix bugs and performance issues

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Deep Learning Engineer

Nexa AI: Accelerating Gen-AI tasks on any device. Build high-performance AI apps on-device without the hassle of model compression or edge deployment.

Education Requirements:

  • Minimum BS/MS in Computer Science

Experience Requirements:

  • 2+ years of professional experience

  • Knowledge of operating system internals, compilers, and low-power/mobile optimization

  • Experience with low-level programming in C and frameworks like CUDA, OpenCL

  • Proficiency in multithreading and performance optimization

Other Requirements:

  • Excellent understanding of computer science fundamentals, including data structures, algorithms, and coding

Responsibilities:

  • Specialize in Google Cloud / AWS tech stacks

  • Familiarity with LLM technologies, particularly with the Transformers library

  • Experience with model compression is a plus

  • Knowledge of model deployment on edge device is a plus

  • Contribute to the development of our SDKs across multiple platforms, including Android, iOS, and Linux

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