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# Senior Full-Stack Software Engineer

- **Company:** NVIDIA Ltd.
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Adobe InDesign, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Python (Programming Language), Machine Learning, Node.Js, Prometheus, Software Engineering, Web Application Frameworks, ReactJS, Grafana, Reliability of Systems, Backend, Data Layers, Kubernetes, Information Technology, Front End Software Development, Restful APIs, OpenSearch, Docker
- **Published:** November 6, 2026
- **Apply:** https://www.juju.com/job/7_BEBADF0CB2947460AF3D2C6049A40BBE

## About the Role

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.What We Need To See: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 / TypeScriptOne or more backend languages such as Node.js, Python, or GoHands-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.Ways to Stand Out from the Crowd: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.At NVIDIA, you'll be immersed in a diverse, supportive environment where you're empowered to do your best work.

## Description

Our focus is building a unified, self-service "single pane of glass" portal that enables AI researchers to manage, monitor, and optimize their usage of Managed AI research Superclusters.This role is ideal for an experienced engineer who enjoys owning well-scoped features end-to-end, collaborating closely with peers and senior engineers, and building reliable, user-facing systems that operate at scale.What You'll Be Doing: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