Data and AI Platform Team Intern

Posted July 19, 2026

About this opportunity

Opportunity Overview

Tencent's Data and AI Platform Team is hiring an intern to work on the deployment needs of their overseas gaming business in large language model and reinforcement learning scenarios. The role involves developing, optimizing, and implementing high-quality AI computing infrastructure. The team is responsible for ensuring the stability and performance of ultra-large-scale training jobs. This internship is with a team focused on the overseas gaming business. The internship will involve working on complex systems engineering challenges, including the development and optimization of AI job scheduling logic and the addressing of compute bottlenecks in gaming scenarios. The team uses a range of technologies, including PyTorch, DeepSpeed, and Megatron-LM. The ideal candidate will have a strong technical background and experience working with distributed systems and AI computing infrastructure. They will also have excellent collaboration and communication skills, with the ability to work effectively with cross-functional teams.

Responsibilities

Participate in the implementation of large-scale distributed training solutions
Own the engineering delivery of data parallelism, model parallelism, and ZeRO techniques
Continuously tune GPU utilization and ensure the stability of ultra-large-scale training jobs
Develop and optimize AI job scheduling logic
Address compute bottlenecks in complex gaming scenarios
Own the full engineering pipeline from model training to inference serving
Participate in operator profiling, model quantization, and the construction of high-performance inference pipelines
Actively embrace AI Coding tools to boost development efficiency
Drive Harness Engineering practices to ensure extreme reliability of the underlying infrastructure

Benefits

Opportunity to work with a leading technology company
Gain experience in AI computing infrastructure development and optimization
Collaborate with cross-functional teams on complex systems engineering challenges

Requirements & Qualifications

Bachelor's degree or above in Computer Science, Computer Architecture, High-Performance Computing, or related fields
Proficient in at least one of Python, C++, or Go
Deep understanding of the PyTorch framework
Hands-on experience engineering distributed training with DeepSpeed, Megatron-LM, or equivalent frameworks
Solid understanding of distributed systems principles
Familiarity with NCCL, RDMA networking, or high-performance storage
Working knowledge of containerized infrastructure (Docker / Kubernetes)
Demonstrable experience with AI Coding tools
Prior work in Harness Engineering
Exceptional learning agility, clear logical thinking, and the ability to collaborate effectively with cross-functional teams
Fluent proficiency in English

How to Apply

Review the job description and requirements to ensure you are a good fit.
Prepare your resume and any additional required documents.
Click the Apply button below to submit your application.

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