NVIDIA

Senior Deep Learning Algorithm Engineer

NVIDIA

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $224,000 - $356,500 per year

Job Level

Senior

Tech Stack

CloudOpen SourcePythonPyTorch

About the role

  • 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, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment.
  • Work at the intersection of compter-architecture, libraries, frameworks, AI applications and the entire software stack.
  • 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.

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