Graduate Backend Engineer - AI Infrastructure

Collaw; Sydney; Hybrid; AUD 65,000 - 95,000; Full time

Job summary

TikTok is recruiting graduates to join the Media Platform Team in Australia for the VideoArch department. You will contribute to large-scale multimedia AI computing platforms powering foundation model training and real-time AI applications.

You will design distributed, cloud-native infrastructure, optimize GPU/CPU clusters, and help scale the VoD processing platform for billions of daily videos. onboarding by end of 2027 is required.

Qualifications

• Individuals who are completing or have recently completed a Bachelor's/Masters' degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid basic knowledge of computer software, understanding of Linux operating system, storage, network IO, and other related principles.
• Familiarity with one or more programming languages, such as Go, Python, and C++, with knowledge of design patterns and coding principles.
• Strong learning and research abilities, good communication skills and teamwork spirit.

Responsibilities

• Build the next-generation multimedia AI computing platform that powers multimodal data processing for foundation model training, as well as real-time AI applications.
• Design and develop high-performance distributed infrastructure, including data processing frameworks, workflow orchestration, task scheduling, resource management, model and operator management, and autoscaling.
• Build cloud-native systems on Kubernetes and optimize the orchestration and scheduling of heterogeneous GPU and CPU clusters for large-scale AI workloads.
• Continuously improve the scalability, reliability, performance, and cost efficiency of TikTok's multimedia processing infrastructure supporting billions of videos every day.

Skills

Go

Python

C++

Teamwork

Education

Bachelor's/Master's in CS/Software Engineering

Tools

Linux

Kubernetes

Ray

Daft

Job description

TikTok is recruiting graduates to join the Media Platform Team in Australia for the VideoArch department. You will contribute to large-scale multimedia AI computing platforms powering foundation model training and real-time AI applications.

You will design distributed, cloud-native infrastructure, optimize GPU/CPU clusters, and help scale the VoD processing platform for billions of daily videos. onboarding by end of 2027 is required.