AI Infrastructure Engineer

The DGX Cloud SRE at NVIDIA ensures our GPU cloud services deliver maximum reliability and uptime. They carefully prepare and plan changes to the system. They also manage capacity and performance. NVIDIA values diversity, curiosity, problem-solving, and openness. Our team includes people with varied backgrounds and perspectives. We encourage collaboration, big thinking, and risk-taking without blame. We promote self-direction on meaningful projects. We also provide support and mentorship to foster learning and growth.

What You’ll Be Doing:

• Design, build, deploy, and run internal tooling for large-scale AI training and inferencing platform built on top of cloud infrastructure.
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Engage in and improve the whole lifecycle of services-from inception and design through deployment, operation, and refinement.
• Support services before they become available through activities such as system design consulting, developing software tools, platforms, and frameworks, capacity management, and launch reviews.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems.
• Be part of an on-call rotation to support production systems.

NVIDIA is looking for an outstanding, passionate, and dedicated Senior AI Infrastructure Engineer to join our DGX Cloud group. This engineering role will design, build and maintain large-scale production systems with high efficiency and availability using a combination of software and systems engineering practices. This role demands knowledge across different systems, networking, coding, databases, capacity management, continuous delivery and deployment, and open-source cloud-enabling technologies like Kubernetes and OpenStack., * BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics), or equivalent experience.

• 5+ years of experience.
• A track record showing a good balance between initiating your own projects, convincing others to collaborate with you, and collaborating well on projects initiated by others.
• Background in infrastructure automation and distributed systems architecture focused on building tools to manage large-scale private or public cloud platforms in production.
• Experience working with one or more of the following languages: Python, Go, C/C++, Java.
• Comprehensive understanding in one or more of Linux, Networking, Storage, and Containers Technologies.
• Experience with Public Cloud and Infrastructure as a Code (IAAC) and Terraform.
• Distributed system experience.

Ways to Stand Out from the Crowd:

• Interest in crafting, analyzing, and fixing large-scale distributed systems.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.
• Capability to identify issues and improve code performance while automating routine tasks. Experience in operating or handling large private and public cloud systems based on Kubernetes or Slurm., Artificial Intelligence (AI), Automation, C Programming Language, C++ Programming Language, Capacity Management, Capacity and Performance Management, Cloud Computing, Communication Skills, Computer Science, Consulting, Continuous Deployment/Delivery, Customer Support/Service, Distributed Computing, Diversity, GPU (Graphics Processing Unit), Go Programming Language (Golang), High Availability, Identify Issues, Incident Response, Java, Large-Scale Systems, Linux Operating System, Machine Tool, Mathematics, Mentoring, On Call, Open Source, Performance Analysis, Performance Management, Physics, Private Cloud, Problem Solving Skills, Production Support, Production Systems, Public Cloud, Python Programming/Scripting Language, Reliability Engineering, Risk, Service Delivery, Software Design, Software Development, Software Engineering, System Architecture, Systems Engineering, Systems Maintenance

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. If you’re creative and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking 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., NVIDIA Corp

Visualize your future . . . We Do NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA’s culture promotes and inspires a team of world-class employees to be at the top of their game. We’ve created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

Company Size: 10,000 employees or more