Principal DGX Cloud Machine Learning Architect

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins technology.
$272,000 - $425,500
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
15+ years of experience
AI · Enterprise SaaS · Automotive

Description For Principal DGX Cloud Machine Learning Architect

NVIDIA is seeking a Principal DGX Cloud Machine Learning Architect to lead the optimization of generative AI models for their DGX Cloud platform. This role sits at the intersection of cutting-edge AI research and practical engineering, focusing on Vision Language Models (VLMs), World Foundation Models (WFMs), and Computer Vision models. The position requires deep expertise in machine learning, with responsibilities spanning from model development to platform architecture. The ideal candidate will have 15+ years of experience in AI/ML, bringing together technical depth in Python, PyTorch, and cloud platforms with the ability to drive innovation in Physical AI applications. NVIDIA offers a competitive compensation package including a base salary range of $272,000-$425,500, equity, and comprehensive benefits. The role is based in Santa Clara, CA, offering the opportunity to work with world-class teams in a company that has been transforming computing for over 25 years. This position is perfect for someone who wants to make a lasting impact on the future of AI while working with state-of-the-art technology and resources.

Last updated a month ago

Responsibilities For Principal DGX Cloud Machine Learning Architect

  • Develop and optimize innovative generative AI models such as VLMs and WFMs using NVIDIA's AI software stack
  • Design and implement sophisticated evaluation methodologies and automation techniques
  • Collaborate with teams to refine and improve foundation models
  • Analyze, profile, and improve model performance
  • Architect scalable, modular software platforms for DGX Cloud customers

Requirements For Principal DGX Cloud Machine Learning Architect

Python
  • Master's, PhD, or equivalent experience in Computer Science, AI, Applied Math, or related field
  • 15+ years of demonstrated ability in deep learning, AI model development, or research
  • Proficiency in model engineering, including data curation, fine-tuning, and evaluation
  • Strong software design and debugging skills
  • Advanced Python and PyTorch proficiency
  • Deep understanding of algorithms and AI system architectures
  • Excellent written and verbal communication skills
  • Cloud AI expertise with major cloud platforms
  • Experience in automation and scalability

Benefits For Principal DGX Cloud Machine Learning Architect

Equity
  • Competitive base salary
  • Equity
  • Comprehensive benefits package

Interested in this job?

Jobs Related To NVIDIA Principal DGX Cloud Machine Learning Architect

Principal Engineer for AI Software Resiliency

Lead AI software resiliency development for world's most powerful AI supercomputers at NVIDIA

Distinguished Engineer, AI Resiliency Lead

Lead AI Resiliency engineering role at NVIDIA, focusing on developing resilient software features for large-scale AI model training with competitive compensation.

Principal Software Engineer, Planning and Controls - Autonomous Vehicles

Principal Software Engineer role at NVIDIA focusing on autonomous vehicle planning and controls systems development.

Senior Product Architect, HPC and AI

Senior Product Architect position at NVIDIA focusing on HPC and AI infrastructure design, offering competitive compensation and opportunity to shape the future of AI technology.

Senior Software Architect, AI and HPC

Senior Software Architect role at NVIDIA focusing on AI and HPC, developing solutions for networking hardware and programming environments with competitive compensation.