Senior System Software Engineer, Cloud Learning Platform

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. We empower developers to excel and do their life’s work. We're seeking an innovative System Software Engineer, to design and build services that immerse learners in the practical application, deployment, and optimization of NVIDIA's innovative technologies. You will be instrumental in powering our latest educational experiences focused on safe, trustworthy, and ethical AI.

Join a close-knit team where your contributions truly matter. As a core member of our LMS platform team, you'll collaborate with creative educators ensure our Learning Management System (LMS) sets the standard for user experience. You'll play a crucial role in making our purpose-built platform a delightful and efficient tool that empowers both learners and instructors. Are you driven to build platforms where students actively engage with and master the latest technologies? 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:

• Architect and implement robust orchestration tools to seamlessly deploy hands-on lab environments across diverse infrastructures, including public and private clouds.

• Develop, deploy, and maintain scalable and resilient microservices that integrate our dynamic learning experiences with NVIDIA’s core services and technologies.

• Collaborate closely with a versatile team of full-stack developers, user experience specialists, and instructional designers to conceptualize, integrate, and roll out new features and capabilities for our learning platform.

What we need to see:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience

• 8+ years of experience with over 4 years of DevOps experience 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 troubleshooting.

• Validated experience architecting and handling cloud infrastructure using Terraform.

• Demonstrated ability as meticulous problem-solver with strong analytical skills and the ability to collaborate effectively while communicating technical concepts to any audience.

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 establishing robust DevOps practices.

• Familiarity with Python-based Learning Management Systems (LMS) such as Open edX or Moodle.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers; we have some of the most forward-thinking and hardworking people in the world working for us and, due to unparalleled growth, our best-in-class teams are rapidly growing.

The base salary range is 168,000 USD - 322,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.