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. 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. 1. Master’s degree or above. Expertise in LLVM/MLIR; hands-on experience with AI compilers such as XLA, TVM, or Glow. Solid understanding of compiler principles and low-level CUDA/OpenCL optimization. Deep knowledge of AI hardware architectures and the full model deployment pipeline. Proficient in C++/Python; practical experience in heterogeneous computing, edge inference, and model management. 2. Preferred: Publications at top conferences (PLDI, MLSys, OSDI, etc.), core contributions to open-source projects (TVM/MLIR), experience in large-scale model compilation optimization, large inference engine architecture design, or AI chip instruction sets/toolchains. 简历接收邮箱： 中兴通讯是全球领先的综合信息与通信技术解决方案提供商，用创新的技术与产品解决方案，服务于全球电信运营商、政企客户和消费者。 邀请热爱AI、理论基础扎实、工程能力突出的AI算法、软件开发工程师，共同探索多模态、大模型、CV、AI Infra、智能应用、高效推理等前沿方向。 AI算法工程师 工作职责 1.跟踪前沿技术，完成模型选型、训练、评估与迭代优化。 2.负责多模态数据治理，落地剪枝、量化、蒸馏等轻量化技术。 3.推动云端/端侧高效部署，优化推理性能、功耗与稳定性。 4.构建AI训练/推理平台及工具链，提升研发效率。 5.完成AI解决方案从原型到上线的全流程。 任职要求 1.硕士及以上，计算机、AI、电子、数学等相关专业。 2.扎实Python/C++，精通PyTorch/TensorFlow，理论扎实。 3.至少满足一项： • 算法：NLP/LLM、CV、多模态、AIGC、强化学习等深入研究或项目实践。 • 系统：CUDA、AI编译器、分布式训练/推理、算子优化、边缘部署。 • 应用：Agent、知识图谱、CV、搜索推荐等落地经验。 4.优先：顶会论文、竞赛优胜、开源贡献、名企实习或高质量项目。 软件开发工程师（AI编译器方向） 工作职责 负责AI推理引擎与编译器架构设计，完成编译全链路优化，释放GPU/NPU算力；设计多智能体操作系统（调度、工具/记忆管理），探索AI与OS融合新场景。 任职要求 1.硕士及以上，精通LLVM/MLIR，具备XLA/TVM/Glow等编译器核心开发经验；掌握编译原理、CUDA/OpenCL底层优化；深入理解AI硬件架构及模型部署全流程；熟练C++/Python，有异构计算、端侧推理、模型管理实战经验。 2.优先：顶会论文（PLDI/MLSys/OSDI等）、开源核心贡献（TVM/MLIR）、超大规模模型编译优化、大型推理引擎架构设计、AI芯片指令集/工具链经验。