Senior Software Architect, AI Systems and Networking at NVIDIA

**Who this is for** This position is for a systems software architect who wants to solve infrastructure challenges by optimizing data movement for large-scale A

Work type: remote

Location: US, CA, Santa Clara | US, TX, Austin | US, CA, Remote

Salary: $184,000 – $356,500/yr

Type: Full-time

Summary

**Who this is for** This position is for a systems software architect who wants to solve infrastructure challenges by optimizing data movement for large-scale AI workloads. **Key highlights** You will work at the boundary of applied research and production, architecting high-performance communication libraries and driving hardware-software co-design for GPUs and network fabrics. **You might be a good fit if you...** - Have 8+ years of experience in systems software, networking, or high-performance computing. - Are proficient in C, C++, or Rust with strong low-level debugging and profiling skills. - Understand modern interconnect technologies like NVLink, RoCE, or InfiniBand. - Have a solid grasp of ML system concepts, including model parallelism and distributed training patterns.

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.

The Senior Architect role is to own modules and projects end-to-end—from scoping research questions to shipping production code. It calls for a recognized expert who drives technical decisions, pulls in ideas from research and industry, and regularly prototypes new approaches to prove a point. The work lives at the boundary of applied research and production engineering!

What you will be doing:

Architecting and implementing high-performance communication and memory management libraries for distributed AI

Driving hardware-software co-optimization with GPU, DPU, NIC, and switch teams through GPUDirect RDMA, NVLink, and next-generation interconnects

Profiling and optimizing data movement across GPU memory, system DRAM, NVMe, and network fabrics

Integrating networking capabilities into AI serving stacks such as vLLM, SGLang, and TensorRT-LLM

Contributing to and maintaining open-source projects, mentoring engineers, conducting design reviews, and prototyping experimental technologies to evaluate their viability

What we need to see:

8+ years in systems software and/or networking with demonstrated ownership of complex projects.

MS, PhD or equivalent experience in Computer Science, Computer Engineering, Electrical Engineering, or a related field.

Solid understanding of high-performance networking: InfiniBand, RoCE, RDMA, NVLink, GPUDirect.

Strong C/C++/Rust systems programming with comfort in performance profiling and low-level debugging.

Understanding of ML systems concepts—transformer architectures, KV cache mechanics, model parallelism, or distributed training and inference patterns.

Ways to stand out from the crowd:

Knowledge of ML inference frameworks (vLLM, SGLang, TensorRT-LLM) and their communication requirements.

Knowledge of storage networking (NVMe-oF, GPUDirect Storage, S3).

Background of Reinforcement Learning systems.

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 the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 23, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.

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