Senior Software Architect, AI Networking
NVIDIA· Architect
Hybrid (Israel, Yokneam), Hybrid (Israel, Tel Aviv)Posted 1mo ago
About the role
Senior Architect shaping large-scale LLM inference infrastructure across GPU clusters, collaborating across software and hardware domains to optimize production deployment, latency, throughput, and cost-efficiency for AI workloads.
Responsibilities
- Design and evolve scalable architectures for multi-node LLM inference across GPU clusters.
- Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production.
- Collaborate with model, systems, compiler, and networking teams to ensure complete, high-performance solutions.
- Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching.
- Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration.
- Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems.
- Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate.
Qualifications
- Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience.
- 8+ years of experience building large-scale distributed systems or performance-critical software.
- Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking.
- Proven software engineering skills in C++ and/or Python, preferably demonstrate strong familiarity with CUDA or similar platforms.
- Strong system-level thinking across memory, networking, scheduling, and compute orchestration.
- Excellent communication skills and ability to collaborate across diverse technical domains.
Skills
Required:C++PythonDistributed systems
Nice to have:CUDA
Last updated Sep 11, 2026. Interested? Apply on the company site.
About NVIDIA
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