岗位概述 参与美图影像研究院（MT Lab）核心 AI 底层基础设施与前沿交互应用的研发。作为支撑算法落地的全栈工程核心，你将参与构建从底层算子优化、算法中台到上层 AR 渲染的全链路系统，将前沿的计算机视觉与 AIGC 理论转化为影响亿级用户的真实影像体验。

本岗位为 2026 年暑期实习，全职实习时长 5 个月以上。实习期间表现优秀者，将有机会获得留用。

职责方向

● 算法平台研发： 参与 AI 算法中台及基础设施的架构设计与 C++ 开发，构建支撑海量数据与大模型的高效训练、自动化评测与部署工具链。

● 前沿 AR 研发： 参与跨平台 AR 特效引擎及图形渲染的底层研发，配合设计师打造创新 AR 特效，并对渲染相关技术进行前瞻性研究。

● 极限算法调优： 深入 AI 落地“最后一公里”，负责深度学习模型在异构硬件（移动端/PC/服务端）上的极限性能调优，涵盖算子优化、内存管理及并发加速。

● 全栈工程协作： 与顶尖算法研究员深度协作，以全栈视角理解复杂 AI 逻辑，设计高可用、高扩展的工程架构，加速 AI 能力的业务化落地。

任职资格

● 教育背景： 本科及以上学历在读，计算机、人工智能、数学、电子等相关专业。

● 计算机基础： 具备极度扎实的计算机科学基础，深入理解数据结构与算法、操作系统体系结构及计算机原理。

● C++ 编程能力： 熟练掌握 C/C++，具备优秀的系统级开发、性能 Profiling 与复杂问题 Debug 能力，代码风格优雅。

● AI Native 心态： 习惯并热衷于利用大模型等 AI 工具辅助开发。

● 算法好奇心： 能够从底层架构视角洞察 AI 模型的工作原理，有志于成长为“懂算法”的全栈工程师。

● 沟通与内驱力： 具备良好的沟通能力，能清晰阐述技术权衡；有独立解决前沿工程难题的内驱力。

加分项

● 底层优化经验： 熟悉 ARM NEON 汇编、CUDA/OpenCL 编程，或有 TensorRT、NCNN 等推理框架实战经验。

● 图形学背景： 熟悉计算机图形学，有 OpenGL、Vulkan 或 Metal 等底层图形 API 开发经验。

● 开源与竞赛： 在 GitHub 相关生态中有实际 PR 贡献，或在 ACM/ICPC、NOI 等高水平算法竞赛中获得过优异成绩。

Overview: Join the MT Lab to build core AI infrastructure and pioneering interactive applications. As a full-stack engineering core supporting algorithm deployment, you will work on an end-to-end system spanning low-level operator optimization, algorithm middleware, and high-level AR rendering. Your mission is to transform cutting-edge Computer Vision and AIGC theories into ultimate imaging experiences for hundreds of millions of users.

This is a full-time summer 2026 internship (5+ months). Strong performers will be considered for a return offer.

Responsibilities

● Algorithm Platform R&D: Contribute to the architectural design and C++ development of AI middleware and infrastructures. You will build toolchains that support high-efficiency training, automated evaluation, and deployment for massive data and large-scale models.

● Frontier AR Development: Engage in the low-level C++ development of cross-platform AR engines and graphics rendering. Work closely with designers to create innovative AR effects and conduct forward-looking research on rendering technologies.

● Extreme Algorithm Tuning: Solve the "last mile" of AI deployment by conducting extreme performance optimization on heterogeneous hardware (Mobile/PC/Server), covering operator optimization, memory management, and multi-threading.

● Full-Stack Engineering Collaboration: Work closely with top-tier research scientists. You will interpret complex AI logic from a full-stack perspective to design high-availability and scalable architectures, accelerating the commercialization of AI capabilities.

Qualifications

● Education: Currently pursuing a Bachelor’s degree or higher in Computer Science, AI, Mathematics, Electronics, or related fields.

● CS Fundamentals: Extremely solid foundation in Computer Science, with a deep understanding of data structures, algorithms, OS architecture, and computer principles.

● C++ Proficiency: Skilled in C/C++ with strong capabilities in system-level development, performance profiling, and complex debugging. We value elegant and rigorous coding styles.

● AI-Native Mindset: Accustomed to and enthusiastic about leveraging LLMs and other AI tools to augment development.

● Curiosity Beyond Engineering: Ability to gain architectural insights into AI model mechanics. We are looking for engineers who aspire to become algorithm-aware full-stack experts.

● Communication & Drive: Strong communication skills to articulate architectural trade-offs; self-driven to solve frontier engineering challenges independently.

Bonus Points

● Low-level Optimization: Familiarity with ARM NEON assembly, CUDA/OpenCL, or hands-on experience with inference frameworks like TensorRT, NCNN, or ONNX.

● Computer Graphics: Familiarity with CG and experience with low-level graphics APIs such as OpenGL, Vulkan, or Metal.

● Open Source & Competitions: Active PR contributions to GitHub projects (acceleration, rendering, or AI infra) or outstanding performance in high-level competitions like ACM/ICPC or NOI.