Do you visualize your future in one of the greatest international companies in the world? We do. NVIDIA is looking for an experienced software engineer with infrastructure experience to become a senior member of the NGC Cloud Foundations Automation team. We build and manage the automation ecosystem supporting NVIDIA's GPU Cloud and NVIDIA SuperPod deployments. What you'll be doing: - Bring extensive development experience and a passion for innovation - Helping us as we transform our workflows and organization into a centrally orchestrated configuration management framework, operating at scale across geographies - Owning and driving integrations with various service APIs such as Cloud Service Providers, to automate creation of environments and auto populate data sources in turn - Building on open source intent software, designing and implementing data structures and UI interfaces to automate processes from equipment purchase to device config generation to deployment to operations - Streamlining deployment mechanisms and life cycle operations - Developing modern service architectures around streaming data and event pipelines - Working with infrastructure Domain Experts on true, zero touch deployment solutions and utilizing best of breed high performance computing management solutions - Be a proactive problem solver, looking out for new opportunities to improve our services and customer experience. Communicate readily with your peers across the organization, building relationships and collaborating enthusiastically What we need to see: - BS or equivalent experience - 5+ years of relevant industry experience - Proficiency in Python, Go, Ansible, and Cumulus Linux (with experience in Arista and other network switches a plus) - Experience with network automation frameworks such as Nautobot and expertise in designing and implementing network configuration management systems - Knowledge of database technologies including PostgreSQL, TimescaleDB, Clickhouse, and experience with cloud architecture and network security concepts - Familiarity with containerization using Kubernetes (on-premises, EKS) and streaming telemetry protocols like gRPC/GNMI Ways to Stand out from the crowd: - Experience with zero-touch provisioning/ONIE and open networking technologies - Knowledge of DNS, storage technologies, and message buses like Kafka. Experience with Django or other web frameworks for building automation UI interfaces - Familiarity with container orchestration using Kubernetes (on-premises, EKS) and telemetry systems (ELK, Grafana, Prometheus, Loki) NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most hard-working and dedicated people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA’s invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 24, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.