**Job Title: AI Algorithm Engineer / Software Development Engineer **

**Email for Resume Submission: job@zte.com.cn **

As a global leading provider of integrated information and communication technology solutions, ZTE provides innovative technologies and integrated solutions for global operators, government and enterprise, and consumers. 
We are looking for passionate AI talents with solid theoretical foundations and strong engineering capabilities to join us in exploring cutting-edge fields including multimodal learning, foundation models, computer vision, AI infrastructure, intelligent applications, and efficient inference deployment.

I. AI Algorithm Engineer

**Responsibilities: **

1. Track cutting-edge technologies; perform model selection, training, evaluation, and iterative optimization.
2. Manage multimodal data governance; implement lightweight techniques such as pruning, quantization, and distillation.
3. Promote efficient deployment on cloud and edge devices; optimize inference performance, power consumption, and stability.
4. Build AI training/inference platforms and toolchains to improve R&D efficiency.
5. Deliver end-to-end AI solutions from prototyping to production.

Qualifications:

1. Master’s degree or above in Computer Science, AI, Electronics, Mathematics, or related fields.
2. Strong programming skills in Python/C++; proficient in PyTorch/TensorFlow; solid understanding of ML/DL theories.
3. At least one of the following:
   • Algorithm Track: In-depth research or project experience in NLP/LLM, CV, multimodal learning, AIGC, reinforcement learning, etc.
   • System Track: Experience with CUDA, AI compilers, distributed training/inference, operator optimization, or edge deployment.
   • Application Track: Hands-on experience with Agent architectures, knowledge graphs, CV, search/recommendation, etc.
4. Preferred: Top conference publications, competition awards, open-source contributions, internships at leading companies, or high-quality personal projects.

II. Software Development Engineer (AI Compiler)

Design and develop AI inference engines and compiler architectures; perform end-to-end compiler optimization to unlock the full potential of GPUs/NPUs. Design multi-agent operating systems (scheduling, tool/memory management) and explore emerging scenarios at the intersection of AI and OS.