Senior Full-Stack Lead Engineer

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CASeattle, WA
Salary
$224,000–$356,500 / yr
Posted
31 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $290k
$132k most similar roles pay here $381k

This role pays more than 99% of similar roles. Most pay $156,000–$223,750 — the shaded band above. At the midpoint, this role pays about $290k versus about $190k 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 967 open roles on FindRole.

Listed pay typically runs $168,000–$270,250 across 950 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Full-Stack Lead Engineer

As a Senior Full-Stack Software Engineer on the AI Hub team within NVIDIA’s DGX Cloud AI Infrastructure organization, you will lead the architecture and delivery of high-scale web products across frontend, backend services, and data layers, ensuring clear availability and latency targets. You’ll own multi-team initiatives from problem discovery to phased rollouts, driving reliability and observability improvements for exascale standards. With deep cloud expertise in AWS, GCP, or Azure, infrastructure as code, containers, and orchestration tools like Docker and Kubernetes, you will establish engineering standards and mentor engineers while collaborating with AI research teams to deliver the next generation of user experiences. Proficiency in modern SPA frameworks such as React/Next.js or Vue/Nuxt, JavaScript/TypeScript, and backend languages including Node.js, Python, and Golang is essential, along with familiarity with observability stacks like OpenSearch, Prometheus, Grafana, and Loki.

What you'll do

  • Lead architecture and delivery of high-scale web products with clear performance targets.
  • Own multi-team initiatives from problem discovery to phased rollouts, ensuring success metrics tied to outcomes.
  • Drive improvements in reliability, performance, and observability to meet exascale standards.
  • Establish engineering standards and reusable platforms to reduce complexity and support long-term needs.
  • Collaborate with AI Research teams to identify pain points and deliver next-generation user experiences.

What we're looking for

  • 12+ years of experience in delivering production web systems.
  • Bachelor’s degree or higher in Computer Science or related technical field.
  • Deep expertise in cloud technologies, including infrastructure as code, containers, and orchestration tools.
  • Full-stack development skills with modern SPA frameworks and backend languages.
  • Experience building machine learning platforms and self-service internal infrastructure tools.
  • Proficiency in observability stacks such as OpenSearch, Prometheus, Grafana, or Loki.
  • Hands-on experience with AI/ML infrastructure trends and best practices.

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