Senior AI Systems and Algorithms Engineer
Core
Designing scalable systems for large-scale GenAI model training, post-training, and inference optimization across cloud and edge platforms.
Role type
Senior IC GenAI algorithms engineer (distributed training & inference)
Builds
Scalable data preparation systems, efficient training/inference algorithms, and open-source AI infrastructure (Megatron-LM, NeMo-RL)
Domain
Generative AI, Large Language Models (LLM), Distributed Systems
Deliverable
production ML models
Required skills
Machine learning, deep learning, optimization, Python, PyTorch, high-performance software engineering, performance tuning
Preferred skills
Distributed training frameworks (Megatron-LM, FSDP, TP/PP/CP/DP), Reinforcement Learning (PPO, GRPO), Model compression (quantization, pruning, distillation), GPU performance optimization
Technologies
PyTorch, Megatron-LM, Megatron Bridge, NeMo-RL, FSDP, FP8, INT4
Responsibilities
Design scalable systems for multimodal dataset preparation; Develop algorithms to improve training scalability and cost; Advance inference performance and reduce deployment costs; Contribute to open-source AI frameworks and model support
Seniority
Senior, hands-on IC
