обновлено 1 день назад
AI Software Development Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Software Development Engineer (AI/on-device computing): Developing inference pipelines, media codecs, automation tooling, and multimodal AI solutions for deployment on CPUs, GPUs, NPUs, and end devices with an accent on LLMs, VLMs, AI Agents, and hardware-software co-optimization. Focus on prototyping and integrating production-ready systems, optimizing model performance, and applying quantization, distillation, and on-device deployment techniques.
Location: On-site in Shanghai, China
Company
AI engineering organization focused on bringing cloud-based intelligence to PCs and other end devices through model deployment and hardware-software co-optimization.
What you will do
- Collaborate with model development teams to deploy LLMs, VLMs, image and video generation models, and AI Agents on devices.
- Prototype ideas and develop inference pipelines, media codecs, and automation tools using Python and C/C++.
- Participate in technical evaluation, prototyping, system integration, performance tuning, and product iteration.
- Optimize systems across CPUs, GPUs, and NPUs and improve engineering efficiency with AI-powered tools.
- Coordinate with model, hardware, and ecosystem stakeholders to scale on-device AI solutions.
Requirements
- Master’s or PhD degree; exceptional bachelor’s candidates are also considered.
- Proficiency in Python or C/C++ and familiarity with Windows or Linux development environments.
- Ability to break down complex problems, evaluate AI-generated code, and turn prototypes into production-ready deliverables.
- Strong curiosity, self-motivation, critical thinking, learning agility, and cross-team communication skills.
- Experience with LLM, VLM, or AI Agent applications, RAG, tool-use workflows, or open-source and personal AI projects is preferred.
- Experience with PyTorch, OpenVINO, ONNX Runtime, model quantization, distillation, LoRA fine-tuning, GPU/NPU acceleration, media processing, or system performance optimization is preferred.
Culture & Benefits
- End-to-end exposure across models, AI Agents, system software, media processing, and hardware acceleration.
- Ownership across the full project lifecycle, from prototyping through product launch.
- Collaboration with leading model teams and a global R&D network.
- Mentorship and personalized career development.
- Engineering culture encouraging independent thinking and experimentation.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →