Senior Software Infra Architect

Job Requisition ID

JR2021261

Job Category

Engineering

Time Type

Full time

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.
  
  

• 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