Senior Applied Scientist - Sovereign Ai

NVIDIA

Not specified (assumed to be hybrid or fully remote based on the nature of the role).
8+ years technical experience in deep learning
Expert python and pytorch programming skills
Deep understanding of transformers and scaling laws
NVIDIA is seeking a Senior Applied Scientist specializing in Sovereign AI to lead complex training and evaluation of AI models. The ideal candidate will possess extensive experience in deep learning and AI architecture, with a strong emphasis on practical programming skills and a passion for innovation

Job Summary

  • This role involves leading complex end-to-end model training experiments including pre-training, CPT, SFT, and alignment.
  • The successful candidate will design custom benchmarks and ablation studies to ensure models meet strict quality and safety bars.
  • You will drive efficiency by operationalizing advanced compression techniques and leveraging inference engines like TensorRT-LLM.

Matching Summary

Match Score: 85

NVIDIA is seeking a Senior Applied Scientist specializing in Sovereign AI to lead complex training and evaluation of AI models. The ideal candidate will possess extensive experience in deep learning and AI architecture, with a strong emphasis on practical programming skills and a passion for innovation.

Skills & Requirements

Must-have

  • 8+ years technical experience in Deep Learning
  • Expert Python and PyTorch programming skills
  • Deep understanding of Transformers and scaling laws

Nice-to-have

  • Highly autonomous technical leader with bias for action
  • Meaningful open-source contributions to LLM repositories
  • Deep familiarity with internal NeMo architecture

Key Requirements

  • Masters or PhD in Computer Science or Machine Learning
  • 4+ years deeply focused on the LLM/Deep Learning lifecycle
  • Hands-on experience modifying large-scale frameworks like Megatron-LM or NeMo

Work Rights

Not specified

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