Principal Architect, AI Inference Networking - NIXL and Dynamo
NVIDIA· Architect
Shanghai, Shenzhenfull-timePosted 4w ago
About the role
Senior architect role focusing on NIXL adoption and integration with NVIDIA Dynamo in China, driving hardware-accelerated AI inference networking, API design for elastic data paths, and upstream contributions.
Responsibilities
- Drive NIXL adoption in China, from the first architecture conversation through prototype and benchmark to production rollout and upstream contribution.
- Profile customer inference stacks and fix throughput and TTFT bottlenecks: KV cache movement, memory registration, transfer scheduling.
- Write NIXL backends and plugins, extend Dynamo integrations, and contribute optimizations upstream to NIXL and GPUDirect class data paths.
- Help define APIs that enable dynamic data paths, supporting elastic scaling, worker churn and runtime rerouting in production inference clusters.
- Bring the region's requirements into NVIDIA's roadmap with technical authority.
- Grow the local community around NIXL through talks, benchmarks and reference architectures.
Qualifications
- M.Sc. or Ph.D. in CS/EE/CE, or equivalent depth earned in industry.
- 12+ years building or optimizing large scale distributed systems: AI inference or training infrastructure, communication libraries, high performance networking, or HPC runtimes.
- Strong systems programming in C++ and Python, with performance critical code shipped.
- Hands on experience with RDMA networking (InfiniBand or RoCE) and GPU memory movement.
- Working knowledge of modern LLM serving, including prefill/decode disaggregation, KV cache management, tensor and pipeline parallelism, and at least one serving stack (Dynamo, TensorRT-LLM, vLLM, SGLang, Triton).
- Strong communication skills, with the technical credibility to be taken seriously by customer engineering teams and by NVIDIA's core library maintainers.
- Fluent Mandarin and professional English, and comfortable working across China, Israel and US time zones.
Skills
Required:C++PythonRDMA networkingGPU memory movementLLM serving knowledgeCommunicationMandarin
Benefits
- N/A provided in description – not listed; include if available by source
Last updated Sep 25, 2026. Interested? Apply on the company site.
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