混元大模型训推优化工程师（北京）
Tencent
混元大模型训推优化工程师（北京）
Job Description
混元大模型训推优化工程师（北京）
📋 Job Overview
The Mixed Yuan Large Model Training and Inference Optimization Engineer role at Tencent in Beijing focuses on evaluating and optimizing large model training and inference on new hardware. The position involves building stability systems for model training and inference to solve production challenges and improve efficiency at scale. It requires deep analysis of model characteristics in collaboration with AI chips and hardware systems to maximize hardware performance through software-hardware synergy.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.主导建设大模型训推稳定性体系，解决模型生产中的技术难题，提升大规模训推的稳定性和效率；
3.深入分析大模型训推特性，结合AI芯片和整机硬件系统，软硬协同充分发挥硬件效能。
🎯 Key Responsibilities
- Support hardware capacity introduction evaluation, responsible for testing and tuning large model training and inference on new hardware
- Lead the construction of large model training and inference stability system, solve technical difficulties in model production, and enhance the stability and efficiency of large-scale training and inference
- Deeply analyze large model training and inference characteristics, combined with AI chips and complete machine hardware systems, to fully leverage hardware performance through software-hardware collaboration
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Support hardware capacity introduction evaluation, responsible for testing and tuning large model training and inference on new hardware
- Lead the construction of large model training and inference stability system, solve technical difficulties in model production, and enhance the stability and efficiency of large-scale training and inference
- Deeply analyze large model training and inference characteristics, combined with AI chips and complete machine hardware systems, to fully leverage hardware performance through software-hardware collaboration
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型训推优化工程师（北京） @ Tencent.
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混元大模型训推优化工程师（北京）
Tencent
混元大模型训推优化工程师（北京）
Job Description
混元大模型训推优化工程师（北京）
📋 Job Overview
The Mixed Yuan Large Model Training and Inference Optimization Engineer role at Tencent in Beijing focuses on evaluating and optimizing large model training and inference on new hardware. The position involves building stability systems for model training and inference to solve production challenges and improve efficiency at scale. It requires deep analysis of model characteristics in collaboration with AI chips and hardware systems to maximize hardware performance through software-hardware synergy.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
📄 Full Description
2.主导建设大模型训推稳定性体系，解决模型生产中的技术难题，提升大规模训推的稳定性和效率；
3.深入分析大模型训推特性，结合AI芯片和整机硬件系统，软硬协同充分发挥硬件效能。
🎯 Key Responsibilities
- Support hardware capacity introduction evaluation, responsible for testing and tuning large model training and inference on new hardware
- Lead the construction of large model training and inference stability system, solve technical difficulties in model production, and enhance the stability and efficiency of large-scale training and inference
- Deeply analyze large model training and inference characteristics, combined with AI chips and complete machine hardware systems, to fully leverage hardware performance through software-hardware collaboration
Locations
- Shenzhen, China
Salary
300,000 - 600,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Support hardware capacity introduction evaluation, responsible for testing and tuning large model training and inference on new hardware
- Lead the construction of large model training and inference stability system, solve technical difficulties in model production, and enhance the stability and efficiency of large-scale training and inference
- Deeply analyze large model training and inference characteristics, combined with AI chips and complete machine hardware systems, to fully leverage hardware performance through software-hardware collaboration
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型训推优化工程师（北京） @ Tencent.
Related Books and Jobs