Senior Full-Stack Software Engineer

Job Summary: NVIDIA has been transforming computer graphics and AI innovation for over 30 years, and they are seeking a Senior Full-Stack Software Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The role involves designing and implementing full-stack features, collaborating with cross-functional teams, and contributing to system reliability and performance improvements. Responsibilities: • Design, implement, and maintain full‑stack features across frontend, backend services, and data layers, meeting defined reliability, availability, and performance expectations. • Own delivery of well‑scoped components or features, from design through implementation, testing, and production support. • Contribute to system reliability, performance, and observability improvements by identifying bottlenecks, fixing issues, and following established best practices. • Collaborate with product managers, designers, and AI research stakeholders to understand user needs and translate them into clear technical solutions. • Participate in design reviews, code reviews, and on‑call rotations to help maintain a high‑quality, production‑ready system. • Follow and contribute to team standards for code quality, testing, security, and CI/CD. • Learn and apply modern practices in cloud infrastructure, deployment, and monitoring with guidance from senior engineers. Qualifications: Required: • 5+ years of professional software engineering experience building and operating production web systems. • Bachelor’s degree in Computer Science or a related technical field (or equivalent experience). • Solid experience with full‑stack development, including: Modern frontend frameworks (React / Next.js or similar), JavaScript / TypeScript, One or more backend languages such as Node.js, Python, or Go. • Hands‑on experience with cloud platforms (AWS, GCP, or Azure), containers (Docker), and basic orchestration concepts (Kubernetes). • Familiarity with RESTful API design, schema evolution, and integration patterns. • Experience working with observability tools such as Prometheus, Grafana, OpenSearch, or similar. • Strong problem‑solving skills, attention to detail, and the ability to work effectively within a team. • Clear written and verbal communication skills and a willingness to learn and grow. Preferred: • Experience building internal platforms or self‑service tools for engineers or researchers. • Exposure to machine learning infrastructure or AI workloads (hands‑on or close collaboration with ML teams). • Familiarity with GPU‑backed systems or large‑scale distributed environments. • Experience using AI‑assisted development tools to improve productivity and code quality. Company: NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

Created: 2026-03-05