Senior Full-Stack Lead Engineer

NVIDIA; Seattle (WA); On-site; USD 224,000 - 356,500; Full time

Job summary

NVIDIA is looking for a Senior Full‑Stack Software Engineer to join the AI Hub team in Seattle, focusing on building a unified portal for AI researchers. You'll lead architecture and high-scale web product delivery, collaborate across teams, and drive performance improvements. Required qualifications include over 12 years in software engineering, strong cloud expertise, and familiarity with modern web frameworks. A base salary between $224,000 and $356,500 USD is offered, along with equity and benefits.

Qualifications

• 12+ years of software engineering experience delivering production web systems.
• Strong cross-functional collaboration skills.
• Deep cloud expertise with infrastructure as code.

Responsibilities

• Lead the architecture and delivery of high-scale web products.
• Own multi-team initiatives end to end.
• Drive reliability, performance, and observability improvements.

Skills

Web systems delivery

Cross-functional collaboration

Cloud expertise (AWS, GCP, Azure)

Modern SPA frameworks (React, Vue)

API design (REST)

Machine learning platforms

ML platform depth (e.g., PyTorch)

Datacenter-scale experience

Education

Bachelor’s degree in Computer Science or related field

Tools

Docker

Kubernetes

OpenSearch

Prometheus

Grafana

Job description

As a Senior Full‑Stack Software Engineer on the AI Hub team within the DGX Cloud AI Infrastructure organization, you will accelerate AI research by building a unified, self‑service portal that allows researchers to efficiently manage, monitor, and optimize their use of Managed AI research Superclusters.

What You’ll Be Doing

• Lead the architecture and delivery of high‑scale web products across frontend, backend services, and data layers, with clear availability and latency targets (SLOs/SLAs).
• Own multi‑team initiatives end to end: problem discovery, RFCs/design reviews, phased rollouts, and success metrics tied to product and business outcomes.
• Drive reliability, performance, and observability improvements to meet exascale standards.
• Establish engineering standards and reusable platforms/design systems to reduce complexity, support load, and address long‑term tech debt.
• Collaborate with NVIDIA AI Research teams to identify pain points and deliver the next‑generation user experience that accelerates their work.
• Mentor and sponsor engineers; improve code quality, testing, security, and observability through reviews, pairing, and coaching.
• Stay ahead of AI/ML infrastructure trends and drive adoption of best practices within the team.

What We Need To See

• 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).
• Strong cross‑functional collaboration skills, including active listening, translating complex use cases into clear technical requirements, and designing data models aligned with business logic and outcomes.
• Deep cloud expertise (AWS, GCP, or Azure), infrastructure as code, containers, and orchestration (Docker, Kubernetes), along with mature CI/CD and safe deployment practices.
• Full‑stack depth: modern SPA frameworks (React/Next.js or Vue/Nuxt), JavaScript/TypeScript, and one or more backend languages (Node.js, Python, and/or Golang).
• Familiarity with observability stacks such as OpenSearch, Prometheus, Grafana, or Loki.
• Proficiency in API design (REST), schema evolution, and integration patterns, with a strong commitment to automated testing.
• Experience building machine learning platforms or self‑service internal infrastructure tools focused on efficiency, resiliency, and observability.
• Clear written and verbal communication skills, strong problem‑solving ability, and a growth mindset.
• Experience leveraging AI‑assisted development tools (e.g., Cursor).

Ways To Stand Out From The Crowd

• Hands‑on ML platform depth (MLE experience or strong familiarity with DL frameworks such as PyTorch, TensorFlow, JAX; distributed training ecosystems like Ray).
• Datacenter‑scale operational experience, including GPU cluster debugging, performance triage, and root‑cause analysis across complex distributed systems.

Your base salary will be determined based on your location, experience, and comparable positions, ranging from 224,000 USD to 356,500 USD. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal‑opportunity employer. We do not discriminate 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.