Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA is looking for an AI Networking Architect to optimize data center infrastructure for advanced AI workloads by analyzing performance bottlenecks and translating research insights into hardware and software requirements. This role suits experienced systems engineers who combine deep machine learning knowledge with infrastructure expertise and want to influence product architecture across the full stack.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
- 3+ years industry or research experience
- Strong machine learning or data science background with hands-on LLM or deep learning systems experience
- Systems-level thinking across the AI stack
- Ability to translate research and product requirements into software and hardware specifications
- Strong research skills including academic paper comprehension and hypothesis testing
- Advanced programming for performance modeling and prototyping
- Excellent technical communication skills
Nice to have
- Distributed training or inference experience
- Large-scale AI serving systems experience
- Agentic programming and AI tools experience
- Familiarity with GPU clusters, collective communication, storage systems, or AI networking bottlenecks