Nvidia Senior GenAI Algorithms Engineer 

United States, Texas 

620500070

What you’ll be doing:

• Contribute to the cutting-edge open source NeMo framework

• Develop and maintain SOTA GenAI models (e.g., large language models (LLMs), multimodal LLMs)

• Tackle large-scale distributed systems capable of performing end-to-end AI training and inference-deployment (data fetching, pre-processing, orchestrate and run model training and tuning, model serving)

• Analyze, influence, and improve AI/DL libraries, frameworks and APIs according to good engineering practices

• Research, prototype, and develop effective tools and infrastructure pipelines

• Publish innovative results on Github and scientific publications

What we need to see:

• A PhD or Master's Degree (or equivalent experience) and 5+ years of industry experience in Computer Science, AI, Applied Math, or related field

• Strong mathematical fundamentals and AI/DL algorithms skills or experience

• Excellent programming, debugging, performance analysis, test design and documentation skills

• Experience with AI/DL Frameworks (e.g. PyTorch, JAX)

• Excellent Python programming skills

Ways to stand out from the crowd:

• Prior experience with Generative AI techniques applied to LLMs and multimodal variants (Image, Video, Speech etc.)

• Exposure to large-scale AI training, understanding of the compute system concepts (latency/throughput bottlenecks, pipelining, multiprocessing etc) and related performance analysis and tuning

• Hands-on experience with inference and deployment environments would be an asset (e.g. TRT, ONNX, Triton)

• Knowledge of GPU/CPU architecture and related numerical software