Systems Software Engineer, AI and Cloud

What you'll do

• Evaluate cloud-native, full-stack applications using microservices architecture to power AI use cases.
• Design and implement agentic workflows using Retrieval-Augmented Generation (RAG) and advanced AI models.
• Analyze the technical performance of AI solutions and compile findings into comprehensive reports.
• Provide practical product improvement suggestions to senior executives and engineering management.
• Develop developer-focused content, including tutorials and code samples for NVIDIA tools and libraries.
• Write technical whitepapers and product briefs for internal and external use.
• Perform technical demos of products at prominent industry conferences.

What we're looking for

• Bachelor's or Master's degree in Software Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field (or equivalent experience).
• 3+ years of professional experience.
• Proficiency in Python and JavaScript for programming and debugging.
• Strong foundation in data structures, algorithms, and software design principles.
• Basic familiarity with C++ programming in high-performance computing environments.
• Experience crafting cloud-native systems optimized for Kubernetes deployment.
• Experience using inference frameworks such as vLLM and NVIDIA Triton Inference Server.
• Solid understanding of API design principles for building scalable, production-ready inference systems.