混元大模型推理加速工程师（北京/深圳）
Tencent
混元大模型推理加速工程师（北京/深圳）
Job Description
混元大模型推理加速工程师（北京/深圳）
📋 Job Overview
The Mixed Yuan Large Model Inference Acceleration Engineer role at Tencent involves developing high-throughput, low-latency inference systems for deep learning algorithms. The position focuses on optimizing large model inference performance to enhance throughput while controlling costs. Additionally, it includes improving the usability and debuggability of the large model inference framework.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
🎯 Key Responsibilities
- Collaborate with algorithm engineers to implement deep learning algorithms and build high-throughput, low-latency inference systems.
- Optimize large model inference performance to increase throughput and control costs.
- Optimize the large model inference framework to enhance usability and debuggability.
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
- Collaborate with algorithm engineers to implement deep learning algorithms and build high-throughput, low-latency inference systems.
- Optimize large model inference performance to increase throughput and control costs.
- Optimize the large model inference framework to enhance usability and debuggability.
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型推理加速工程师（北京/深圳） @ Tencent.
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混元大模型推理加速工程师（北京/深圳）
Tencent
混元大模型推理加速工程师（北京/深圳）
Job Description
混元大模型推理加速工程师（北京/深圳）
📋 Job Overview
The Mixed Yuan Large Model Inference Acceleration Engineer role at Tencent involves developing high-throughput, low-latency inference systems for deep learning algorithms. The position focuses on optimizing large model inference performance to enhance throughput while controlling costs. Additionally, it includes improving the usability and debuggability of the large model inference framework.
📍 Location: Shenzhen, China
🏢 Business Unit: TEG
🎯 Key Responsibilities
- Collaborate with algorithm engineers to implement deep learning algorithms and build high-throughput, low-latency inference systems.
- Optimize large model inference performance to increase throughput and control costs.
- Optimize the large model inference framework to enhance usability and debuggability.
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
- Collaborate with algorithm engineers to implement deep learning algorithms and build high-throughput, low-latency inference systems.
- Optimize large model inference performance to increase throughput and control costs.
- Optimize the large model inference framework to enhance usability and debuggability.
Tags & Categories
Answer 10 quick questions to check your fit for 混元大模型推理加速工程师（北京/深圳） @ Tencent.
Related Books and Jobs