NVIDIA, a global leader in visual and AI computing, is seeking a Software Engineering Intern for their Fleet Health Instrumentation team for Fall 2025. This role offers a unique opportunity to work on GPU-accelerated platforms at global scale, focusing on maintaining and optimizing NVIDIA's cloud services.
The position involves working with cutting-edge technologies and modern software practices, from service design to system instrumentation and data-pipeline engineering. You'll be writing robust, performant code primarily in Golang and Python, while working with technologies like Kubernetes, Kafka, and various cloud infrastructure tools.
As an intern, you'll be immersed in NVIDIA's engineering culture, working on high-impact features that keep their GPU-accelerated platforms running smoothly. You'll design and build software that collects and analyzes fleet health data, develop microservices and data pipelines, and work with production infrastructure running on Kubernetes clusters.
The ideal candidate should be pursuing a BS or MS in Computer Science or related field, with strong programming skills in Python or Go. Knowledge of distributed systems, Linux, and Kubernetes is essential. The role offers competitive compensation ($18-71/hour) and comprehensive intern benefits.
This is an excellent opportunity for someone interested in cloud computing, distributed systems, and working with one of the technology world's most innovative companies. You'll gain hands-on experience with production systems while contributing to NVIDIA's mission of advancing visual and AI computing technology.