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 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.
What we need to see:
- Bachelor’s degree in Computer Science, a related technical field, or equivalent experience with over 5 years of DevOps experience optimizing, deploying and running containerized applications (Docker, Kubernetes) across AWS, Azure, and GCP, including 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 strong 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.
Ways to stand out from the crowd:
- 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 strong 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.
If you're a creative engineer with a real passion for robust and enjoyable user experiences, we want to hear from you. NVIDIA is committed to encouraging 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.