高级GPU虚拟化研发工程师
Tencent
高级GPU虚拟化研发工程师
Job Description
高级GPU虚拟化研发工程师
📋 Job Overview
The Senior GPU Virtualization R&D Engineer at Tencent focuses on developing advanced GPU virtualization solutions for secure container environments. The role involves optimizing performance in Serverless scenarios to achieve near-native user experiences and building efficient lifecycle management frameworks for GPU devices. This position supports high concurrency and elasticity demands in cloud computing infrastructures.
📍 Location: Shenzhen, China
🏢 Business Unit: CSIG
📄 Full Description
2.极致优化GPU虚拟化在Serverless场景下的性能损耗（包括但不限于GPU调度、显存管理、内核驱动交互等），确保接近原生的用户体验；
3.构建高效的GPU设备生命周期管理框架，实现设备的快速分配、回收、以支撑serverless的弹性和高并发需求。
🎯 Key Responsibilities
- Design and implement GPU virtualization, resource pooling, and rapid rotation solutions based on secure containers, ensuring strong isolation and security for user containers.
- Extremely optimize GPU virtualization performance losses in Serverless scenarios (including but not limited to GPU scheduling, video memory management, kernel driver interaction, etc.), ensuring a user experience close to native.
- Build an efficient GPU device lifecycle management framework to achieve rapid allocation and recycling of devices, supporting the elasticity and high concurrency needs of Serverless.
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Design and implement GPU virtualization, resource pooling, and rapid rotation solutions based on secure containers, ensuring strong isolation and security for user containers.
- Extremely optimize GPU virtualization performance losses in Serverless scenarios (including but not limited to GPU scheduling, video memory management, kernel driver interaction, etc.), ensuring a user experience close to native.
- Build an efficient GPU device lifecycle management framework to achieve rapid allocation and recycling of devices, supporting the elasticity and high concurrency needs of Serverless.
Tags & Categories
Answer 10 quick questions to check your fit for 高级GPU虚拟化研发工程师 @ Tencent.
Related Books and Jobs
高级GPU虚拟化研发工程师
Tencent
高级GPU虚拟化研发工程师
Job Description
高级GPU虚拟化研发工程师
📋 Job Overview
The Senior GPU Virtualization R&D Engineer at Tencent focuses on developing advanced GPU virtualization solutions for secure container environments. The role involves optimizing performance in Serverless scenarios to achieve near-native user experiences and building efficient lifecycle management frameworks for GPU devices. This position supports high concurrency and elasticity demands in cloud computing infrastructures.
📍 Location: Shenzhen, China
🏢 Business Unit: CSIG
📄 Full Description
2.极致优化GPU虚拟化在Serverless场景下的性能损耗（包括但不限于GPU调度、显存管理、内核驱动交互等），确保接近原生的用户体验；
3.构建高效的GPU设备生命周期管理框架，实现设备的快速分配、回收、以支撑serverless的弹性和高并发需求。
🎯 Key Responsibilities
- Design and implement GPU virtualization, resource pooling, and rapid rotation solutions based on secure containers, ensuring strong isolation and security for user containers.
- Extremely optimize GPU virtualization performance losses in Serverless scenarios (including but not limited to GPU scheduling, video memory management, kernel driver interaction, etc.), ensuring a user experience close to native.
- Build an efficient GPU device lifecycle management framework to achieve rapid allocation and recycling of devices, supporting the elasticity and high concurrency needs of Serverless.
Locations
- Shenzhen, China
Salary
300,000 - 800,000 CNY / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Responsibilities
- Design and implement GPU virtualization, resource pooling, and rapid rotation solutions based on secure containers, ensuring strong isolation and security for user containers.
- Extremely optimize GPU virtualization performance losses in Serverless scenarios (including but not limited to GPU scheduling, video memory management, kernel driver interaction, etc.), ensuring a user experience close to native.
- Build an efficient GPU device lifecycle management framework to achieve rapid allocation and recycling of devices, supporting the elasticity and high concurrency needs of Serverless.
Tags & Categories
Answer 10 quick questions to check your fit for 高级GPU虚拟化研发工程师 @ Tencent.
Related Books and Jobs