Senior AI and ML Engineer — AI for Networking

Job Description

NVIDIA is seeking a highly skilled Senior AI/ML Engineer to join their dynamic team and help lead the team through a major technology transformation into running AI on-prem and building infrastructure by integrating Enterprise ready platforms.

Requirements

• 10+ years of engineering experience with at least 5 years leading initiatives in ML infrastructure, AI systems, or applied NLP/LLM development
• 5+ years of experience in Networking and infrastructure
• Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Machine Learning, or a related field (or equivalent experience)
• Deep expertise with Generative AI concepts, MCP workflows, Agentic ecosystem, etc.
• Programming in Python and/or Go, and software engineering best practices
• Experience deploying and tuning LLMs using techniques like LoRA, QLoRA, and instruction tuning
• Strong understanding of infrastructure automation pipeline, monitoring, and DevOps tools
• Hands-on experience working with petabyte-scale datasets, schema design, and distributed processing
• Strong background in working with infrastructure-related data collections and logs related to network data
• Ability to run simulations of network state with AI tools

Responsibilities

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

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching