AI Infrastructure Engineer Graduate (TikTok Live Recommendation Architecture) - 2027 Start Singapore Technology - Backend Regular Bachelor/Master Graduate - 2027 Start
Core
Build and optimize high-performance GPU-based systems for live broadcast recommendation model training and inference.
Role type
Graduate AI Infrastructure Engineer (GPU Systems)
Builds
Scalable training and inference pipelines for live streaming recommendation models
Domain
Video streaming / Recommendation systems / High-performance computing
Deliverable
production ML models
Required skills
C++, CUDA, Python, GPU architecture, distributed training, system performance tuning, deep learning compilers
Preferred skills
Large-scale model training systems, memory/latency optimization, NCCL/Horovod/DeepSpeed, TVM/LLVM, real-time systems, open-source contributions
Technologies
CUDA, NCCL, Horovod, DeepSpeed, FSDP, TVM, LLVM, C++, Python, Golang
Responsibilities
Optimize model performance and memory efficiency on GPU-based systems; Deploy and scale high-throughput training and inference pipelines; Develop tools and compiler optimizations for deep learning workloads; Analyze system performance via GPU profiling and kernel analysis; Build and maintain high-performance computing frameworks and storage systems
Seniority
Graduate (Entry-level)
