Senior AI Systems and Algorithms Engineer
NVIDIA, US, CA, Santa Clara +5
About the job
NVIDIA is seeking a Senior GenAI Algorithms Engineer to advance the state of the art in foundation model development, training, and deployment. You will work at the intersection of large-scale distributed training, reinforcement learning for LLMs/VLMs, model efficiency, multimodal AI, and open-source AI infrastructure. This role spans the entire GenAI lifecycle from large-scale data preparation to training, post-training, inference optimization, and framework development. You will collaborate with research, product, and infrastructure teams to design new algorithms, optimize existing systems, and contribute to NVIDIA's open-source AI stack, including Megatron-LM, Megatron Bridge, and NeMo-RL.
What You'll Be Doing
- Data Curation & Readiness: Design scalable systems for preparing high-quality multimodal datasets for frontier foundation model training.
- Training Efficiency: Develop algorithms and systems that improve the scalability, efficiency, and cost of large-scale pre-training and post-training.
- Inference Efficiency: Advance techniques that improve inference performance, reduce deployment cost, and enable efficient serving across cloud and edge platforms.