This role pays more than
99%
of similar roles. Most pay
$192,050–$226,350
— the shaded band above.
At the midpoint, this role pays about
$290k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Full-Stack Lead Engineer on the AI Hub team within the DGX Cloud AI Infrastructure organization, you will lead the architecture and delivery of high-scale web products across frontend, backend services, and data layers. You will manage multi-team initiatives from discovery to rollout while establishing engineering standards and reusable platforms to meet exascale requirements. The role focuses on building a unified self-service portal for researchers to manage and optimize Managed AI research Superclusters. You will utilize modern SPA frameworks like React, Next.js, Vue, or Nuxt, along with JavaScript, TypeScript, Node.js, Python, and Golang. Technical expertise includes cloud platforms (AWS, GCP, Azure), Kubernetes, Docker, CI/CD, and observability tools like Prometheus and Grafana. You will solve complex problems regarding infrastructure efficiency, reliability, and performance for large-scale machine learning platforms.
Lead the architecture and delivery of high-scale web products across frontend, backend services, and data layers.
Own multi-team initiatives from problem discovery and design reviews through phased rollouts and success metrics.
Drive reliability, performance, and observability improvements to meet exascale infrastructure standards.
Establish engineering standards and reusable platforms to reduce complexity and manage technical debt.
Collaborate with AI Research teams to identify pain points and deliver improved user experiences.
Mentor and sponsor engineers through code reviews, pairing, and coaching to improve quality and security.
Stay ahead of AI/ML infrastructure trends and drive the adoption of best practices within the team.
What we're looking for
12+ years of software engineering experience delivering production web systems.
Bachelor’s degree or higher in Computer Science or a related technical field (or equivalent experience).
Full-stack expertise in modern SPA frameworks (React/Next.js or Vue/Nuxt), JavaScript, TypeScript, and backend languages like Node.js, Python, or Golang.
Deep cloud expertise including AWS, GCP, or Azure, infrastructure as code, containers, and orchestration (Docker, Kubernetes).
Proficiency in REST API design, schema evolution, integration patterns, and automated testing.
Experience building machine learning platforms or self-service internal infrastructure tools focused on efficiency and observability.
Familiarity with observability stacks such as OpenSearch, Prometheus, Grafana, or Loki.
Experience with AI-assisted development tools like Cursor.