Job Description

NVIDIA is seeking experienced engineers to enhance the Megatron Core and NeMo Framework for AI workloads, focusing on developing models for Large Language Models and Multimodal foundation model training and optimization.

Requirements

MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields and 10+ years of industry experience.
Experience with AI Frameworks (e.g. PyTorch, JAX) and/or inference and deployment environments (e.g. TRTLLM, vLLM, SGLang).
Proficient in Python programming, software design, debugging, performance analysis, test design and documentation.
Consistent record of working effectively across multiple engineering initiatives and improving AI libraries with new innovations.
Strong understanding of AI/Deep-Learning fundamentals and their practical applications.

Responsibilities

Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing.
Contribute and advance open source Megatron Core and NeMo Framework.
Solve large-scale, end-to-end AI training and inference challenges.
Innovate and improve model architectures, distributed training algorithms, and model parallel paradigms.
Performance tuning and optimizations, model training and finetuning with mixed precision recipes on next-gen NVIDIA GPU architectures.
Research, prototype, and develop robust and scalable AI tools and pipelines.