Principal AI and ML Engineer — AI for Networking

NVIDIA is the world leader in accelerated computing, pioneering AI and digital twins technology.
$248,000 - $391,000
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For Principal AI and ML Engineer — AI for Networking

NVIDIA, a pioneer in computer graphics and accelerated computing for 30 years, is seeking a Principal AI/ML Engineer to revolutionize their IT Networking space. This role sits at the intersection of AI and infrastructure, focusing on building next-generation systems that leverage advanced machine learning capabilities. The position offers an opportunity to work with cutting-edge technology in AI, particularly in areas like Generative AI, LLMs, and infrastructure automation.

The role demands a seasoned professional with deep expertise in both AI/ML and networking infrastructure. You'll be responsible for architecting and implementing AI/ML platforms, leading Generative AI initiatives, and building sophisticated ML systems for document understanding and knowledge processing. The position requires strong technical skills in Python/Go programming, experience with GPU-accelerated computing, and expertise in infrastructure automation.

Working at NVIDIA means joining one of technology's most desirable employers, where innovation and autonomy are highly valued. The company is at the forefront of AI advancement, working on transformative technologies that impact various industries. The role offers competitive compensation ($248,000 - $391,000) plus equity, and provides the opportunity to work with world-class talent in a supportive, diverse environment.

This position is ideal for someone who combines deep technical expertise with leadership abilities, as you'll be mentoring teams and driving the adoption of emerging technologies. The hybrid work environment allows for flexibility while maintaining collaborative opportunities with talented colleagues. If you're passionate about pushing the boundaries of AI technology and have a strong background in both ML and infrastructure, this role offers an exciting opportunity to make a significant impact at a leading technology company.

Last updated 31 minutes ago

Responsibilities For Principal AI and ML Engineer — AI for Networking

  • Architect and implement infrastructure platforms for AI/ML workloads
  • Lead initiatives in Generative AI systems design
  • Build and optimize ML systems for document understanding
  • Design and develop scalable services and tools for GPU-accelerated AI pipelines
  • Mentor and collaborate with multidisciplinary teams
  • Build and drive adoption of emerging AIOPs technologies

Requirements For Principal AI and ML Engineer — AI for Networking

Python
Go
Kubernetes
  • 10+ years of engineering experience with 5+ years leading ML infrastructure initiatives
  • 5+ years of experience in Networking and infrastructure
  • Bachelor's, Master's, or Ph.D. in Computer Science or related field
  • Deep expertise in Generative AI concepts
  • Experience with MCP workflows and Agentic ecosystem
  • Programming skills in Python and/or Go
  • Experience deploying and tuning LLMs
  • Strong understanding of infrastructure automation pipeline
  • Hands-on experience with petabyte-scale datasets

Benefits For Principal AI and ML Engineer — AI for Networking

Equity
  • Equity

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