Principal Engineer, AIOps

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins that transform industries.
$248,000 - $391,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
15+ years of experience
AI · Enterprise SaaS

Description For Principal Engineer, AIOps

NVIDIA, the world leader in accelerated computing, is seeking a Principal Engineer for their AIOps team. This role combines advanced AI expertise with IT operations, focusing on developing innovative solutions that leverage NVIDIA's Observability, Infrastructure, and Gen AI platforms. The position offers an opportunity to work at the forefront of AI technology, leading the design and implementation of AI-powered solutions for IT operations.

The role requires a seasoned professional with 15+ years of engineering experience and deep expertise in AIOps technologies. You'll lead the development of cutting-edge solutions using machine learning, deep learning, and natural language processing to solve complex IT operational challenges. The position involves working with state-of-the-art technologies including LLMs, RAG, and various AI frameworks.

At NVIDIA, you'll be part of a dynamic environment that's shaping the future of technology. The company offers competitive compensation ($248,000-$391,000) plus equity and benefits. This is an ideal opportunity for a technical leader who can bridge the gap between AI innovation and practical IT operations, while leading and mentoring a team of talented engineers and data scientists.

The role is based in Santa Clara, CA, putting you at the heart of NVIDIA's operations. You'll work with internal and external customers, defining the future of AIOps while contributing to one of the technology world's most desirable employers. NVIDIA's commitment to diversity and innovation makes it an excellent place for creative individuals who thrive on achieving goals and enjoy a dynamic learning environment.

Last updated a day ago

Responsibilities For Principal Engineer, AIOps

  • Lead the design, development, testing, and deployment of AIOps platform
  • Apply machine learning and AI techniques for IT operations challenges
  • Improve IT Infrastructure and Operations Management
  • Implement observability principles and practices
  • Design and communicate AIOps roadmap, vision, and strategy
  • Collaborate with customers and stakeholders
  • Lead and empower engineers and data scientists
  • Harness AI, generative AI, and machine learning for Nvidia IT teams

Requirements For Principal Engineer, AIOps

Python
Kubernetes
  • Bachelor's degree or higher in computer science, engineering, or related field
  • 15+ years of industry experience in engineering projects
  • 5+ years of experience with AIOps technologies and platforms
  • Proficient in Python, TensorFlow, PyTorch, or other AI frameworks
  • Proficiency in Python and Go programming
  • Experience with IT systems, tools, and processes
  • Experience in designing and implementing end-to-end architecture
  • Experience with Gen AI applications using LLMs, RAG

Benefits For Principal Engineer, AIOps

Equity
  • Equity
  • Comprehensive benefits package

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