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
Task
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
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.
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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