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5 дней назад

AI Software Development Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
China
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Software Development Engineer (On-Device AI): Developing and optimizing software solutions, inference pipelines, media codecs, and automation tools for deploying AI models on end-user devices with an accent on LLMs, VLMs, AI agents, and hardware-software co-optimization. Focus on prototyping model deployment, optimizing CPU/GPU/NPU performance, and integrating scalable multimodal AI capabilities across millions of devices.

Location: On-site in Shanghai, China

Company

Work within an AI and Graphics organization focused on intelligent computing solutions from the cloud to end-user devices.

What you will do

  • Deploy large language models, vision-language models, AI agents, and image or video generation models on end-user devices.
  • Prototype and develop inference pipelines, media codecs, and automation tools using Python or C/C++.
  • Optimize hardware-software integration across CPUs, GPUs, and NPUs.
  • Conduct technical evaluations, system integration, prototyping, and iterative product development.
  • Collaborate with model, hardware, and ecosystem stakeholders to scale on-device AI solutions.

Requirements

  • Bachelor’s degree in a relevant field with 0–1 years of hands-on AI software development experience, or a relevant master’s degree with no prior professional experience.
  • Proficiency in Python or C/C++.
  • Familiarity with Windows or Linux development environments.
  • Basic understanding of AI development tools and practices through projects, coursework, training, or open-source contributions.
  • On-site presence in Shanghai, China is required.

Nice to have

  • Experience with LLMs, VLMs, AI agents, retrieval-augmented generation, or tool-use workflows.
  • Knowledge of PyTorch, OpenVINO, or ONNX Runtime.
  • Experience with model quantization, distillation, fine-tuning, or deployment on end devices.
  • Knowledge of GPU/NPU acceleration, media processing, video codecs, or system performance optimization.
  • Experience with AI development tools such as Cursor or GitHub Copilot.

Culture & Benefits

  • Collaborative, engineering-driven work with global research and development teams.
  • Opportunity to develop AI capabilities used across millions of devices.
  • Commitment to responsible business practices and ethical hiring.
  • No recruitment, medical examination, or other hiring-related fees are charged to candidates.

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