NVIDIA
AI
SystemSoftwareEngineer,PlatformOperations
Neural analysis suggests this role is
optimal for Mid candidates.
“System Software Engineer, Platform Operations at NVIDIA. Skills: System Software Engineering, Platform Operations, DevOps, Kubernetes, AWS, Azure, GCP, Python, Linux shell scripting, Terraform, SRE principles, incident response. Develop comprehensive operational plans and de-risking strategies to ensure flawless technical execution of technical training events. Provide expert, hands-on technical leadership during live training events, managing deployments and rapidly resolving emergent issues fo”
What You'll Achieve.
ensure the stability, reliability, and flawless execution of all NVIDIA Deep Learning Institute (DLI) training events; oversee the broader day-to-day operational health of the entire learning platform; ensuring a seamless experience for instructors and learners; making our purpose-built Learning Management System (LMS) platform a delightful and efficient tool that empowers both learners and instructors; ensure flawless technical execution of technical training events; rapidly resolving emergent issues for an optimal user experience; optimal performance and reliability; enhance platform services
Industry & Context.
meticulous problem-solver with analytical skills; capable of diagnosing and resolving complex technical challenges under pressure
What They're Looking For.
Must Have
over 5 years of DevOps experience optimizing, deploying and running containerized applications (Docker, Kubernetes) across AWS, Azure, and GCP, hands-on work with EKS, AKS, and GKE, Proficient in Python and Linux shell scripting for automation, application development, system administration, and problem resolution, Validated experience architecting, implementing, and managing cloud infrastructure using Terraform, Demonstrated ability as a meticulous problem-solver with analytical skills, capable of diagnosing and resolving complex technical challenges under pressure, Excellent communication, teamwork, and collaboration skills, with an ability to articulate technical concepts clearly to diverse audiences and lead technical responses during incidents
Nice to Have
Proven experience designing and implementing event-driven architectures using pub/sub patterns with platforms like AWS SNS / SQS, Google Pub / Sub, or Azure Service Bus, Knowledge of generative AI architectures (LLMs, diffusion models) and concepts such as Retrieval Augmented Generation (RAG) and vector databases, Hands-on experience with the NVIDIA AI stack (NeMo, Triton Inference Server, TensorRT) for model development, serving, and optimization, Production experience with NVIDIA NIM is a plus, Experienced in building and running CI/CD pipelines (Jenkins, GitLab CI) and managed software development environments, applying SRE principles to automate, enhance reliability, and improve performance, Familiarity with Python-based Learning Management Systems (LMS) such as Open edX
What You'll Do.
Develop comprehensive operational plans and de-risking strategies to ensure flawless technical execution of technical training events
hands-on technical leadership during live training events
managing deployments and rapidly resolving emergent issues for an optimal user experience
Oversee the stability
and reliability of the DLI learning platform
implementing SRE principles and leading incident response for optimal performance and reliability
Lead cross-functional coordination
establish and enforce operational best practices
and drive continuous improvement initiatives to enhance platform services
and flawless execution of all NVIDIA Deep Learning Institute (DLI) training events
oversee the broader day-to-day operational health of the entire learning platform
How You'll Work.
Team & Collaboration
collaborate with creative educators to ensure our hands-on training sets the standard for user experience; Lead cross-functional coordination; teamwork; collaboration
Communication Scope
Excellent communication; ability to articulate technical concepts clearly to diverse audiences
Full Job Description
For over 25 years, NVIDIA has pioneered visual and accelerated computing. Today, we're defining the future of AI, equipping millions with groundbreaking tools and essential training to lead a new era of innovation. Every month, NVIDIA’s training platform enables thousands of developers around the world to advance their AI skills and excel in their life’s work. We're seeking an operationally-focused System Software Engineer to ensure the stability, reliability, and flawless execution of all NVIDIA Deep Learning Institute (DLI) training events. You will also oversee the broader day-to-day operational health of the entire learning platform. Your operational acumen will be instrumental in powering our latest educational experiences focused on safe, trustworthy, and ethical AI, ensuring a seamless experience for instructors and learners. Join a close-knit team where your contributions truly matter. As a core member of our learning systems platform team, you'll collaborate with creative educators to ensure our hands-on training sets the standard for user experience. You'll play a crucial role in making our purpose-built Learning Management System (LMS) platform a delightful and efficient tool that empowers both learners and instructors. Are you driven to build platforms that open the door to new careers? Do you thrive on creating systems that enable people to confidently apply advanced tools in their work? Want to be at the heart of making pivotal technologies like generative AI accessible and profoundly learnable for everyone? If so, let’s talk! **What you’ll be doing:** * Develop comprehensive operational plans and de-risking strategies to ensure flawless technical execution of technical training events. * Provide expert, hands-on technical leadership during live training events, managing deployments and rapidly resolving emergent issues for an optimal user experience. * Oversee the stability, scalability, and reliability of the DLI learning platform, implementing SRE p
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