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腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算

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Engineering Jobs

腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算

full-timePosted: Dec 2, 2025

Job Description

腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算

📋 Job Overview

The High-Performance Computing Engineer role in Tencent's PCG AI Infra team focuses on developing and applying the KsanaLLM inference acceleration engine for large language models to optimize business efficiency and cost reduction. The position involves close collaboration with algorithm and product teams to deliver customized HPC solutions and staying ahead of cutting-edge technologies in the field. Responsibilities include tackling complex technical challenges to ensure system stability and scalability in high-performance computing environments.

📍 Location: Shenzhen, China

🏢 Business Unit: PCG

📄 Full Description

1.负责大语言模型推理加速引擎一念(https://github.com/Tencent/KsanaLLM)的研发和业务应用,助力业务降本提效;
2.与算法团队、产品团队紧密协作,理解业务需求并提供定制化的高性能计算解决方案;
3.持续跟踪HPC领域的前沿技术,推动新技术在一念的应用与创新;
4.解决高性能计算场景下的复杂技术问题,确保系统的稳定性和可扩展性。

🎯 Key Responsibilities

  • 负责大语言模型推理加速引擎一念(https://github.com/Tencent/KsanaLLM)的研发和业务应用,助力业务降本提效
  • 与算法团队、产品团队紧密协作,理解业务需求并提供定制化的高性能计算解决方案
  • 持续跟踪HPC领域的前沿技术,推动新技术在一念的应用与创新
  • 解决高性能计算场景下的复杂技术问题,确保系统的稳定性和可扩展性

Locations

  • Shenzhen, China

Salary

Estimated Salary Rangemedium confidence

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

  • 负责大语言模型推理加速引擎一念(https://github.com/Tencent/KsanaLLM)的研发和业务应用,助力业务降本提效
  • 与算法团队、产品团队紧密协作,理解业务需求并提供定制化的高性能计算解决方案
  • 持续跟踪HPC领域的前沿技术,推动新技术在一念的应用与创新
  • 解决高性能计算场景下的复杂技术问题,确保系统的稳定性和可扩展性

Target Your Resume for "腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算" , Tencent

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Tencent logo

腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算

Tencent

Engineering Jobs

腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算

full-timePosted: Dec 2, 2025

Job Description

腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算

📋 Job Overview

The High-Performance Computing Engineer role in Tencent's PCG AI Infra team focuses on developing and applying the KsanaLLM inference acceleration engine for large language models to optimize business efficiency and cost reduction. The position involves close collaboration with algorithm and product teams to deliver customized HPC solutions and staying ahead of cutting-edge technologies in the field. Responsibilities include tackling complex technical challenges to ensure system stability and scalability in high-performance computing environments.

📍 Location: Shenzhen, China

🏢 Business Unit: PCG

📄 Full Description

1.负责大语言模型推理加速引擎一念(https://github.com/Tencent/KsanaLLM)的研发和业务应用,助力业务降本提效;
2.与算法团队、产品团队紧密协作,理解业务需求并提供定制化的高性能计算解决方案;
3.持续跟踪HPC领域的前沿技术,推动新技术在一念的应用与创新;
4.解决高性能计算场景下的复杂技术问题,确保系统的稳定性和可扩展性。

🎯 Key Responsibilities

  • 负责大语言模型推理加速引擎一念(https://github.com/Tencent/KsanaLLM)的研发和业务应用,助力业务降本提效
  • 与算法团队、产品团队紧密协作,理解业务需求并提供定制化的高性能计算解决方案
  • 持续跟踪HPC领域的前沿技术,推动新技术在一念的应用与创新
  • 解决高性能计算场景下的复杂技术问题,确保系统的稳定性和可扩展性

Locations

  • Shenzhen, China

Salary

Estimated Salary Rangemedium confidence

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

  • 负责大语言模型推理加速引擎一念(https://github.com/Tencent/KsanaLLM)的研发和业务应用,助力业务降本提效
  • 与算法团队、产品团队紧密协作,理解业务需求并提供定制化的高性能计算解决方案
  • 持续跟踪HPC领域的前沿技术,推动新技术在一念的应用与创新
  • 解决高性能计算场景下的复杂技术问题,确保系统的稳定性和可扩展性

Target Your Resume for "腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算" , Tencent

Get personalized recommendations to optimize your resume specifically for 腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算" , Tencent

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

TencentShenzhenChinaPCGPCG

Answer 10 quick questions to check your fit for 腾讯PCG AI Infra团队-高性能计算工程师(深圳/北京/上海)-高性能计算 @ Tencent.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.