高级软件架构师，AI系统与网络
Senior Software Architect, AI Systems and Networking
一个位于NVIDIA网络系统与软件架构团队中的应用研究小组正在解决AI最困难的基础设施问题。该团队构建系统级软件，以现代AI所需的速度在GPU、节点和存储之间移动数据——涵盖底层传输优化、软硬件协同设计，以及直接集成到生产AI堆栈的通信框架。该团队的职责范围正在扩展到新兴领域，包括量子计算互连。
高级架构师职位需要从头到尾负责模块和项目——从界定研究问题到发布生产代码。该职位需要一位公认的专家，能够推动技术决策，引入研究和行业中的想法，并定期原型化新方法以验证观点。这项工作处于应用研究和生产工程的交界处！
你将负责的工作：
- 为分布式AI设计和实现高性能通信和内存管理库
- 通过GPUDirect RDMA、NVLink和下一代互连，与GPU、DPU、NIC和交换机团队合作推动软硬件协同优化
- 对GPU内存、系统DRAM、NVMe和网络结构之间的数据移动进行分析和优化
- 将网络功能集成到AI服务堆栈中，如vLLM、SGLang和TensorRT-LLM
- 参与并维护开源项目，指导工程师，进行设计评审，并原型化实验性技术以评估其可行性
我们需要看到的：
- 在系统软件和/或网络领域有12年以上经验，并有复杂项目的成功主导经验。
- 计算机科学、计算机工程、电子工程或相关领域的硕士、博士或同等经验。
- 对高性能网络有扎实的理解：InfiniBand、RoCE、RDMA、NVLink、GPUDirect。
- 强大的C/C++/Rust系统编程能力，并熟悉性能分析和底层调试。
- 对ML系统概念有理解——Transformer架构、KV缓存机制、模型并行性，或分布式训练和推理模式。
脱颖而出的方式：
- 熟悉ML推理框架（vLLM、SGLang、TensorRT-LLM）及其通信需求。
- 熟悉存储网络（NVMe-oF、GPUDirect Storage、S3）。
- 有强化学习系统的背景。
- NVIDIA提供具有竞争力的薪资和全面的福利包，被广泛认为是业界领先的企业。
查看英文原文
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:
- 12+ 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 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.Originally posted on Himalayas