Senior Full-Stack Lead Engineer

NVIDIA

Senior Full-Stack Software Engineer leading architecture and delivery of web products at NVIDIA. Collaborating with AI research teams to enhance user experience and mentoring engineers.

Posted 4/29/2026full-timeSanta Clara • California, Washington • 🇺🇸 United StatesSenior💰 $224,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoGoogle Cloud PlatformGrafanaJavaScriptKubernetesNext.jsNode.jsNuxtPrometheusPythonReactTypeScriptVue.js

About the role

Key responsibilities & impact

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 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.

Requirements

What you’ll need

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).

Benefits

Comp & perks

Equity
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Hard Skills & Tools

software engineeringcloud expertiseinfrastructure as codecontainersorchestrationCI/CDfull-stack developmentAPI designautomated testingmachine learning platforms

Soft Skills

cross-functional collaborationactive listeningproblem-solvingclear communicationgrowth mindsetmentoringcoachingdesigning data modelstranslating complex use casesimproving code quality

Certifications

Bachelor’s degree in Computer Sciencerelated technical field