Senior Full-Stack Software Engineer

About the role

The AI Hub team within the DGX Cloud AI Infrastructure organization is seeking a Senior Full-Stack Software Engineer to accelerate AI research by ensuring NVIDIA's AI infrastructure is used efficiently, transparently, and at scale. This role involves designing, implementing, and maintaining full-stack features across frontend, backend services, and data layers.

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.

Requirements

• 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.

Qualifications

• 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.

Skills

• Experience with cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with containers (Docker).
• Experience with Kubernetes.
• Experience with RESTful API design.
• Experience with observability tools such as Prometheus, Grafana, OpenSearch, or similar.
• Experience with modern frontend frameworks (React / Next.js or similar).
• Experience with JavaScript / TypeScript.
• Experience with one or more backend languages such as Node.js, Python, or Go.

Benefits

NVIDIA offers competitive salaries and a comprehensive benefits package. The base salary range is $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4. You will also be eligible for equity and benefits.

Pay

Base salary range: $152,000 - $241,500 for Level 3, and $184,000 - $287,500 for Level 4.

Schedule

Not specified.

Application Instructions

Applications for this job will be accepted at least until July 13, 2026.

Ways to Stand Out

• 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.