We are seeking a highly skilled Principal Networking AI System Architect to join as a key contributor to the Applied Networking AI group. In this role you will scope and lead AI based solutions for networking technologies and drive their integration across teams.You’ll lead a portfolio and roadmap of projects that encompass agentic-AI for data-center management, predictive-resiliency, optimization and more. By collaborating closely with subject-matter-experts (SMEs), applied-researchers, product-managers, architects, data-engineers and other stakeholders you will push the envelope forward in using cutting-edge technologies and data-driven insights to improve NVIDIA's products.
What you'll be doing:
- Build a shared roadmap and vision for AI based data-center management solutions spanning LLM intelligence for troubleshooting, predictive-resiliency and AIOPS, black-box optimization and performance tuning.
- Work closely with engineering and reliability teams to scope and define workflows utilizing and benefitting from AI/ML.
- Drive the integration of AI capabilities into system architecture and engineering workflows.
- Identify system-level opportunities for failure management, automated troubleshooting, performance improvement, and resource optimization.
- Translate system behavior, dependencies, data, and operational constraints into formulated research problems.
What we need to see:
- Ph.D in electrical engineering, machine-learning, computer-science or another relevant field.
- 10+ years of deep technical experience in high-performance network architecture, data center networking, or distributed systems design.
- Mastery of high-speed interconnect protocols including InfiniBand and/or advanced Ethernet architectures.
- Thorough experience driving high-impact projects centered on modern AI/ML such as LLMs/agents, deep-learning, black-box optimization or another relevant field.
- Deep knowledge of AI/ML and networking-hardware/system-architecture.
- Excellent ability to convey and communicate data-based insights to stakeholders and management.
- Experience demonstrating an excellent track of collaboration with hands-on teams.
Ways to stand out from the crowd:
- Demonstrated track record of architecting and deploying multi-thousand-node GPU clusters for hyperscale cloud environments.
- Deep knowledge of NVIDIA networking technologies, including BlueField DPUs, Quantum InfiniBand switches, and Spectrum Ethernet platforms.
- Expertise in in-network computing, telemetry, adaptive routing, and telemetry-driven network optimization.
- High energy and a positive, proactive and curious approach.
Skills Required
- Ph.D. in electrical engineering, machine learning, computer science, or a relevant field
- 10+ years of deep technical experience in high-performance network architecture, data-center networking, or distributed-systems design
- Mastery of high-speed interconnect protocols, including InfiniBand and/or advanced Ethernet architectures
- Extensive experience leading high-impact projects involving modern AI/ML, LLMs, agents, deep learning, or black-box optimization
- Deep knowledge of AI/ML and networking hardware/system architecture
- Excellent ability to communicate data-based insights to stakeholders and management
- Strong collaboration experience with hands-on engineering teams
- Experience architecting and deploying multi-thousand-node GPU clusters for hyperscale cloud environments
- Deep knowledge of NVIDIA networking technologies, including BlueField DPUs, Quantum InfiniBand switches, and Spectrum Ethernet platforms
- Expertise in in-network computing, telemetry, adaptive routing, and telemetry-driven network optimization
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
