1 day ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Define end-to-end system architectures for Spectrum-X solutions spanning networking, software, hardware, infrastructure, and application integration.
- Lead architecture activities across requirements, system definition, implementation, validation, deployment, and optimization.
- Collaborate with cross-functional engineering teams to deliver integrated, high-performance solutions.
- Evaluate and integrate software and hardware technologies including load balancing, telemetry, and congestion control.
- Translate product and business requirements into architectural requirements, interfaces, tradeoffs, and technical execution plans.
- Identify system-wide architectural gaps, dependencies, tradeoffs, and performance bottlenecks.
- Partner with productization, test, validation, deployment, and support teams to prepare reliable and scalable production solutions.
- Author architecture documents, design specifications, technical requirements, and technical publications.
- Provide technical leadership and guidance throughout implementation and integration.
Requirements
- Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience.
- At least 5 years of experience in software architecture, systems engineering, or developing large-scale performance-critical systems.
- Strong networking expertise, including high-performance networks, distributed systems, and networked applications.
- Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows.
- Experience defining and delivering end-to-end architectures spanning software, hardware, networking, and infrastructure.
- Experience leading complex technical initiatives in large-scale, multifunctional environments.
- Ability to translate broad product goals into architectural requirements, interfaces, tradeoffs, and execution plans.
- Strong communication and technical leadership skills for influencing decisions across teams and organizational boundaries.
- Experience architecting high-performance networking solutions for AI, cloud, data center, or distributed-computing environments is preferred.
- Familiarity with NVIDIA networking technologies and the Spectrum-X platform is preferred.
- Experience with AI training or inference infrastructure, GPU-accelerated systems, large-scale compute clusters, AI accelerators, distributed communication patterns, congestion control, or load balancing is preferred.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.