Senior Software Infra Architect

Overview

• NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years.
• It’s an outstanding legacy of innovation that’s motivated by extraordinary technology —and amazing people.
• NVIDIA is looking for a highly motivated Architect to join the NVIDIA DSX AIR team to help build our next-generation AI platforms.
• In this role, you will leverage your extensive expertise in Kubernetes internals, deep networking, and distributed systems to design and scale advanced infrastructure.
• NVIDIA Air enables cloud-scale efficiency by creating identical replicas of real-world data center infrastructure deployments.
• To learn more, visit Nvidia DSX Air.
• What you'll be doing: The responsibility specifically is for Architecture, infrastructure requirements, and designing highly scalable distributed microservices systems.
• Working closely with System Architects, Development and DevOps engineers to conduct comprehensive design reviews, ensuring all technical implementations strictly adhere to the general product architecture.
• Maintaining hands-on capabilities to rapidly build, execute, and demonstrate Proof of Concepts (POCs) for new architectural patterns and technologies.
• Championing the adoption of additional AI-driven tools and processes to aggressively automate system operations and repetitive workflows wherever possible.
• Architecting and developing large-scale systems over k8s, utilizing a deep understanding of its structure to fine-tune performance and stability.
• Designing and optimizing deep networking solutions for container/k8s environments Continuous evaluation of existing system and driving improvements across our platform and AI integration layers.
• What we need to see: 8+ years of experience and deep understanding of the latest distributed microservices based architectures, specifically utilizing event-driven and reactive models.
• Deeply familiar with the latest AI trends, alongside a strong foundational understanding of modern platforms and AI architectures.
• Deep understanding and hands-on experience with Kubernetes (k8s) internals, specifically its control plane infrastructure and core services.
• Proven experience developing, maintaining, and deploying k8s ecosystem components such as operators and CRDs and/or customizing internal k8s control plane services.
• Demonstrated capability in developing large-scale systems over k8s, with the ability to understand its deep structure and fine-tune it for massive workloads.
• Deep understanding of advanced networking solutions and container/k8s networking Having good programing background in one high level language (such as Go or Python) to facilitate deep system development and execute hands-on POCs.
• Bachelors degree NVIDIA is widely considered to be one of the technology world’s most desirable employers.
• We have some of the most forward-thinking and hardworking people on the planet working for us.
• If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in ground-breaking developments in Artificial Intelligence, High-Performance Computing and Visualization.
• The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.