[Skip to main content](#main-content) [ OpenNash ](https://opennash.com/) / [Jobs](https://jobs.opennash.com/) [ 01 Search jobs](https://jobs.opennash.com/search/)[ 02 Companies](https://jobs.opennash.com/explore/)[ 03 Hiring report](https://jobs.opennash.com/reports/hiring/)[ 04 AI assistants](https://jobs.opennash.com/connect/)[ 05 How it works](https://jobs.opennash.com/methodology/) NVIDIA · Multiple locations # Senior Full-Stack Software Engineer Multiple locations Senior individual contributor Software Engineering Listed on NVIDIA’s official careers site. Posted October 31, 2026. Check that it is still open and apply there. [Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-WA-Seattle/Senior-Full-Stack-Software-Engineer_JR2014108) [OpenNash Jobs](https://jobs.opennash.com/) / [NVIDIA](https://jobs.opennash.com/companies/nvidia/) / Senior Full-Stack Software Engineer ## Job description NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 years. Today, we're at the forefront of AI innovation powering breakthroughs in research, autonomous vehicles, robotics, and more. The DGX Cloud team builds and operates the AI infrastructure that fuels this progress. We’re looking for a Senior Full-Stack Software Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The AI Hub team accelerates AI research by ensuring NVIDIA’s AI infrastructure is used efficiently, transparently, and at scale. 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 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 / 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. ### 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. The DGX Cloud AI Infrastructure team is at the core of NVIDIA’s AI efforts building the software that makes scalable research possible. Join us and help power the next wave of innovation. NVIDIA provides competitive salaries and a comprehensive benefits package. Our engineering teams are expanding rapidly due to exceptional growth. Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until November 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. ## At a glance - Posted by the employer: Oct 31, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Nov 10, 2026 - Listed for: 123 days - Location: Multiple locations[Apply on NVIDIA’s careers site →](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-WA-Seattle/Senior-Full-Stack-Software-Engineer_JR2014108) ## Hiring at NVIDIA - Open jobs: 2,784 - New in the last 7 days: After two weekly collections - Tracked since: Jul 10, 2026 [All NVIDIA jobs](https://jobs.opennash.com/companies/nvidia/) · [Weekly hiring report](/reports/hiring/) ## More jobs at NVIDIA ### [Senior Full-Stack Software Engineer, Storage Management Platform - DGX Cloud](https://jobs.opennash.com/companies/nvidia/jobs/f8ae5c7986ce05147b84/) ### [Senior Manager, Engineering - Data Center Firmware](https://jobs.opennash.com/companies/nvidia/jobs/8c61ff9db824b1b75d79/) ### [Senior Manager, Firmware Engineering](https://jobs.opennash.com/companies/nvidia/jobs/f08aacd31fd69ec0cb6e/) ### [Senior Manager, Graphics Systems Software and Compute Graphics Chips](https://jobs.opennash.com/companies/nvidia/jobs/be9702e43296b8f6db91/) ### [Senior Manager, Software Engineering - Rack Scale Systems Infrastructure](https://jobs.opennash.com/companies/nvidia/jobs/810ba42aae3014250121/) ## Similar jobs at other companies ### [Full-Stack Software Engineer - React](https://jobs.opennash.com/companies/manulife/jobs/9498021675d739b01359/) Manulife ### [Senior Full Stack.NET Software Engineer](https://jobs.opennash.com/companies/citigroup/jobs/2e6522de3ea7c02e1615/) Citigroup ### [Full-Stack Software Engineer](https://jobs.opennash.com/companies/manulife/jobs/50a741ea3a136b9786fb/) Manulife ### [Software Engineer - Full Stack and Back End](https://jobs.opennash.com/companies/citigroup/jobs/bdb712e6ea5642f22f6c/) Citigroup ### [Sr Specialist Software Engineering (Python Full Stack Developer, Agentic AI & Azure cloud)](https://jobs.opennash.com/companies/att/jobs/28abd6e2b907f05db566/) AT&T [Software Engineering jobs](/functions/software-engineering/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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