AI Infra Engineer Graduate (Recommendation & LLM) 2027 Start (PhD)
San Jose, California, United States
USD 148K-300K (estimate) Entry-level Full Time
Tasks
- Analyze system bottlenecks and implement performance optimizations
- Build and optimize infrastructure for large scale model training and online inference
- Collaborate with researchers to develop and deploy LLM training and serving solutions
- Develop distributed systems for large recommendation models and LLMs
- Improve training and inference performance using GPU optimization and efficient communication
Perks/Benefits
- N/A
Skills/Tech-stack
Algorithms | C++ | CUDA | Computer Systems | Continuous batching | Data Structures | Deep learning | Distributed Systems | FlashAttention | GPU Programming | KV cache | Language Models | Large Language Models | Model Inference | Model Training | Online Inference | PyTorch | Python | TensorFlow | Transformer | Triton
Education
Regions
Countries
States
Cities
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