{
    "schema_version": "via_ai_product_manager_jobs_v1",
    "data_type": "ai_product_manager_jobs",
    "job": {
        "job_title": "GPU训练工程师",
        "job_level": "未披露",AI生成
        "work_category": "全职",AI生成
        "department": "CDG",
        "location": "北京",
        "work_mode": "未披露",AI生成
        "job_category": "技术"AI生成
    },
    "company": {
        "company_name": "腾讯",
        "company_industry": "互联网 / 科技 / 人工智能",
        "company_size": "10000人以上",
        "company_website": "tencent.com",
        "company_description": "腾讯是一家互联网和科技公司，业务覆盖通信与社交、数字内容、游戏、金融科技、企业服务、云计算与人工智能等方向。"
    },
    "compensation": {
        "salary_range": {
            "min": "",
            "max": "",
            "currency": "未披露",
            "cycle": "未披露"
        },
        "benefits": "未披露"
    },
    "requirements": {
        "working_years": 3,
        "degree": "未披露",
        "language": "未披露",AI生成
        "visa_support": "未披露",
        "responsibilities": "1.负责构建面向腾讯营销业务的机器学习平台；\r\n2.优化GPU训练平台的训练性能，打造高吞吐高性能的训练系统；\r\n3.优化GPU训练框架，提高训练平台易用性。",
        "requirements_text": "1.掌握数据结构、算法等相关专业知识；\r\n2.熟练使用C/C++、Python语言编程，具备GPU编程能力，掌握CUDA编程能力；\r\n3.熟悉 Pytorch/TensorFlow/TorchRec 等框架者优先；\r\n4.具备编译优化、通信优化、低精度训练能力者优先。",
        "skills": [AI生成
            "Python",
            "C++",
            "PyTorch",
            "TensorFlow",
            "CUDA",
            "数据结构"
        ],
        "preferred_qualifications": "3.熟悉 Pytorch/TensorFlow/TorchRec 等框架者优先；4.具备编译优化、通信优化、低精度训练能力者优先",
        "job_highlights": "未披露"
    },
    "contact": {
        "recruiter_name": "未披露",
        "contact_methods": [
            {
                "type": "apply_link",
                "value": "https://careers.tencent.com/jobdesc.html?postId=2052709091612209152"
            }
        ]
    },
    "posting": {
        "posting_id": "2052709091612209152",
        "post_date": "2026-09-07",
        "hire_time": "未披露",
        "update_date": "20260917",
        "job_url": "https://careers.tencent.com/jobdesc.html?postId=2052709091612209152"
    },
    "fulltext": "GPU训练工程师\n在腾讯，后台开发工程师不仅是“又快又稳”的问题解决专家，更是生态共创者。你将与技术团队一同沉淀优质代码，让它成为我们共有的宝贵资产。在不同的业务场景和技术发展阶段，你的架构思维也将帮助更多协作团队拓展新的思考。我们也珍视你的挑战精神，同时欢迎你一起参与团队愿景、文化和产品方向的探讨。\n1.负责构建面向腾讯营销业务的机器学习平台；\r\n2.优化GPU训练平台的训练性能，打造高吞吐高性能的训练系统；\r\n3.优化GPU训练框架，提高训练平台易用性。\n1.掌握数据结构、算法等相关专业知识；\r\n2.熟练使用C/C++、Python语言编程，具备GPU编程能力，掌握CUDA编程能力；\r\n3.熟悉 Pytorch/TensorFlow/TorchRec 等框架者优先；\r\n4.具备编译优化、通信优化、低精度训练能力者优先。",
    "standard_classification": {
        "std_category_code": "T014",
        "std_aux_codes": [],
        "std_category_status": null,
        "std_taxonomy_version": "20261104"
    }
}