Principal Architect, AI Networking

NVIDIA; United States; On-site; USD 272,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation in the United States seeks a Principal Architect to lead the research and architectural direction for AI systems communication at scale across GPUs, DPUs, NICs, and storage. You will define project scope from scratch and translate breakthroughs into production-grade software that ships industry-wide.

The role requires setting long-term vision, prototyping networking solutions over RDMA/NVLink, and mentoring senior engineers while publishing findings.

Qualifications

• 15+ years in systems software and networking with deep expertise in high-performance networking and GPU-accelerated systems.
• Proven track record of leading complex, cross-team initiatives from research concept to production.
• MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or related field.

Responsibilities

• Set the long-term technical vision for distributed AI communication systems (GPU-to-GPU, GPU-to-storage, cross-node data movement).
• Conduct original research and prototype next-gen networking solutions over RDMA, NVLink, and GPUDirect.

Skills

High-performance networking

Cross-team leadership

GPU-accelerated systems

Education

MS/PhD in CS/CE/EE

Tools

C

C++

Rust

Python

Job description

An applied research team within NVIDIA's Networking Systems & Software Architecture group is solving some of AI's hardest infrastructure problems. The team builds systems-level software that moves data between GPUs, nodes, and storage at the speed modern AI demands-spanning low-level transport optimization, hardware-software co-design, and communication frameworks that plug directly into production AI stacks. The team's charter expands into emerging domains including quantum computing interconnects.

This Principal Architect role leads the research agenda and architectural direction for how NVIDIA's AI systems communicate at scale-across GPUs, DPUs, NICs, and heterogeneous storage. It requires someone who defines project scope from scratch, publishes original work, and translates research breakthroughs into production-grade software that ships industry-wide!

What you will be doing:

• Setting the long-term technical vision for distributed AI communication systems-GPU-to-GPU, GPU-to-storage, and cross-node data movement.
• Conducting original research and prototyping next-generation networking solutions over RDMA, NVLink, and GPUDirect.
• Driving hardware-software co-optimization with GPU, DPU, NIC, and network switch. Investigating fundamental bottlenecks in communication runtimes for large-scale AI workloads (KV cache transfer, disaggregated prefill/decode, model parallelism).
• Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM.
• Publishing findings, representing NVIDIA in industry forums and standards bodies, and mentoring senior engineers across the organization.

What we need to see:

• 15+ years in systems software and/or networking with deep expertise in high-performance networking (InfiniBand, RoCE, RDMA, NVLink), communication libraries (e.g. NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production.
• MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Deep understanding of computer architecture, memory hierarchies, DMA engines, and OS-level networking.
• Understanding of ML systems concepts-transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.
• Proficiency in programming languages such as C, C++, Rust and Python.

Ways to stand out from the crowd:

• Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.
• CUDA programming and NVIDIA GPU architecture expertise.
• Proved experience influencing product strategy and technical roadmap at a senior level.
• Major open-source contributions.

With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward-thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large-scale, high-impact data platforms, we'd love to hear from you.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits .

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.