Nvidia Senior System Software Engineer Cloud Learning Platform 

United States, Texas 

786044656

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.