寒武纪训练解决方案工程师-27届
校招全职地点:上海 | 北京状态:招聘
工作描述
岗位职责 1、负责SOTA AI模型在寒武纪人工智能芯片(MLU)上的端到端性能优化和精度调优,沉淀可复用、可泛化的优化方法论,独立开发寒武纪性能、精度分析工具,支撑常态化优化工作。 2、负责寒武纪Model Zoo的开发、迭代与日常维护,基于MLU芯片完成各类SOTA大模型、多模态算法的完整复现,针对模型训练全流程做性能分析、精度调优,输出标准化的行业领域参考解决方案。 3、深入研究大模型底层核心技术,深耕Megatron、DeepSpeed等分布式训练框架,掌握剪枝、量化训练等模型加速…
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包括英文材料
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
Megatron+
https://www.youtube.com/watch?v=hc0u4avAkuM
DeepSpeed+
https://www.youtube.com/watch?v=pDGI668pNg0
Swift+
[英文] A Swift Tour
https://docs.swift.org/swift-book/documentation/the-swift-programming-language/guidedtour/
Explore the features and syntax of Swift.
https://www.hackingwithswift.com/learn
Free Swift and iOS tutorials
https://www.youtube.com/watch?v=8Xg7E9shq0U
Learn the Swift programming language in this full tutorial for beginners.
RLHF+
[英文] What is RLHF?
https://aws.amazon.com/what-is/reinforcement-learning-from-human-feedback/
Reinforcement learning from human feedback (RLHF) is a machine learning (ML) technique that uses human feedback to optimize ML models to self-learn more efficiently.
https://www.ibm.com/think/topics/rlhf
Reinforcement learning from human feedback (RLHF) is a machine learning technique in which a “reward model” is trained with direct human feedback, then used to optimize the performance of an artificial intelligence agent through reinforcement learning.
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相关职位
校招
岗位职责: 分布式训练框架开发:深度优化分布式训练框架,在性能、内存、并行策略等方面进行研究与开发,确保框架在大规模训练场景下的效率和稳定性; 大模型训练解决方案构建与完善:针对大语言模型,视觉生成等
合肥|上海|北京

校招
学历背景: 计算机相关专业硕士及以上学历,具备扎实的理论基础和强大的动手能力; 编程能力: - 熟悉 Python/C++/CUDA/CUTLASS/Triton编程,熟悉PyTorch框架及其底
更新于 2026-07-08北京|上海|苏州

实习后端开发
1. 计算机、人工智能、数学等相关专业在读硕士、博士。 2. 熟练掌握 C++ 和 Python 语言。 3. 有扎实的计算机基础知识,熟练掌握常见的数据结构和算法。 4. 具备 AI 辅助编程实践经
更新于 2026-08-04北京