NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
As a Senior Cloud Engineer at NVIDIA, you will develop, build, and optimize large-scale, distributed cloud infrastructure and services to support our AI, GPU, and data platforms. You will collaborate with multi-functional engineering teams to develop cloud-native solutions, automate deployments, improve monitoring/observability, and ensure the reliability and scalability of critical systems.
What you'll be doing:
Architect, implement, and maintain scalable, automated cloud infrastructure for NVIDIA cloud platforms (e.g., DGX Cloud)
Develop Infrastructure as Code (IaC) using tools like Terraform and lead Kubernetes-based services
Partner with software engineering, platform, and product teams to design and deploy cloud solutions, integrating CI/CD and GitOps practices
Analyze and optimize system performance across networking, storage, and cloud application layers
Lead cloud migration, integration, and upgrade initiatives as needed
Develop monitoring tools and instrumentation for deep observability, and respond to reliability or performance issues
Mentor junior engineers and share guidelines in cloud systems, automation, and security
What we need to see:
BS/MS in Computer Science, Engineering, or related field (or equivalent experience)
8+ years of experience in designing, deploying, and operating cloud systems (AWS, GCP, Azure, or similar)
Strong proficiency in Python, Go, or Java, as well as in CI/CD tools and container orchestration (Kubernetes, Docker)
Experience with IaC, configuration management, and cloud automation frameworks
Solid understanding of distributed systems, APIs, networking, and database technologies
Experience with monitoring, logging, and performance optimization in cloud environments
Excellent solving, documentation, and multi-functional skills
Ways to stand out from the Crowd:
Experience with high-scale data or GPU platforms
Familiarity with cloud security and multi-cloud/hybrid environments
Background in supplying to open source or upstream cloud projects
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — 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, NVIDIA is increasingly known as “the AI computing company.”
