Principal Engineer, Efficient GenAI
Core
Design and optimize efficient training and inference for large-scale Generative AI models (LLMs, 3D, image/video) on AMD hardware.
Role type
Principal Engineer, Generative AI Systems
Builds
Optimized training pipelines and inference solutions for Generative AI models
Domain
Artificial Intelligence / High-Performance Computing
Deliverable
production ML models
Required skills
Generative AI model training, distributed training, inference optimization, transformer architectures, parallelism strategies, low-precision training, open-source framework integration
Preferred skills
Publications in top AI conferences, productizing foundation models, agentic workflows
Technologies
PyTorch, JAX, vLLM, SGLang, MuJoCo
Responsibilities
Propose innovative techniques for training/inference (speculative decoding, KV-caching), implement novel efficient architectures, collaborate on end-to-end performance optimization, publish research at external venues
Seniority
Principal, hands-on IC & research
