Senior Software E2E Architect

Overview

• NVIDIA is seeking a senior, hands-on End-to-End Architect to define and drive system architecture for next-generation AI and accelerated computing platforms.
• Join our E2E Architecture group, where we build large-scale solutions that bring together high-capacity communication systems, software, physical devices, and infrastructure.
• In this role, you will own system-level architecture across multiple technologies and organizational boundaries.
• You will interpret product and business requirements to develop complete architectural solutions, identify gaps across system components, and drive technical alignment from early definition through productization and deployment.
• What You’ll Be Doing: Define end-to-end system architectures for Spectrum-X solutions, covering networking, software, hardware, infrastructure, and application integration.
• Lead architecture tasks for the entire solution lifecycle, from requirements and system definition through implementation, validation, deployment, and optimization.
• Collaborate with systems, software, model, networking, platform, and application teams to deliver integrated, high-performance solutions.
• Evaluate and integrate new software and hardware technologies relevant to core Spectrum-X capabilities, including load balancing, telemetry, congestion control and more.
• Translate product and business requirements into system architecture, component requirements, interfaces, and technical execution plans.
• Identify architectural gaps, dependencies, tradeoffs, and performance bottlenecks across the end-to-end system.
• Work closely with productization teams, including test, validation, deployment, and support, to ensure the complete solution is reliable, scalable, and ready for production.
• Author architecture documents, design specifications, technical requirements, and technical publications.
• Provide technical leadership and guidance to engineering teams throughout implementation and integration.
• What We Need to See: Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, or equivalent experience.
• 5+ years of experience in software architecture, systems engineering, or the development of large-scale, performance-critical systems.
• Strong networking background, including a deep understanding of high-performance networks, distributed systems, and networked applications.
• Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows Proven experience defining and delivering end-to-end architectures that span software, hardware, networking, and infrastructure.
• Experience leading complex technical initiatives in a large-scale, multi-functional environment.
• Ability to translate broad product goals into clear architectural requirements, interfaces, tradeoffs, and execution plans.
• Excellent communication and technical leadership skills, with the ability to influence decisions across teams with multifaceted strengths and organizational boundaries.
• Ways to Stand Out from the Crowd: Experience architecting high-performance networking solutions for AI, cloud, data center, or distributed computing environments.
• Familiarity with NVIDIA networking technologies and the Spectrum-X platform.
• Background in AI training or inference infrastructure, GPU-accelerated systems, or large-scale compute clusters.
• Experience with AI Accelerators and distributed communication patterns, congestion control and/or load balancing.
• Proven success identifying and resolving efficiency constraints across complex, multi-component systems.
• NVIDIA is widely considered one of the most desirable places to work in technology.
• We are passionate about what we do and committed to a culture of technical perfection, innovation, and teamwork.
• If you want to define comprehensive system builds that combine advanced networking, accelerated computing, and large-scale software systems, this role is for you.