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Senior Full-Stack Lead Engineer

NVIDIA· Engineer, Sys SW
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Santa Clara, CA, Seattle, WA$224k - $356.5kfull-timePosted 5mo ago

About the role

Senior Full-Stack Software Engineer role in the DGX Cloud AI Infrastructure organization, focused on building a unified self-service portal for managing AI research infrastructure and accelerating AI research.

Responsibilities

  • Lead the architecture and delivery of high-scale web products across frontend, backend services, and data layers with defined 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 and long-term tech debt.
  • Collaborate with NVIDIA AI Research teams to identify pain points and deliver next-gen user experiences.
  • Mentor and sponsor engineers; improve code quality, testing, security, and observability through reviews, pairing, and coaching.
  • Stay ahead of AI/ML infrastructure trends and promote best practices within the team.

Qualifications

  • 12+ years of software engineering experience delivering production web systems.
  • Bachelor’s degree or higher in Computer Science or related technical field (or equivalent experience).
  • Strong cross-functional collaboration skills, including translating complex use cases into clear technical requirements and designing data models aligned with business outcomes.
  • Deep cloud expertise (AWS, GCP, or Azure), infrastructure as code, containers and orchestration (Docker, Kubernetes), with mature CI/CD and safe deployment practices.
  • Full-stack depth: modern SPA frameworks (React/Next.js or Vue/Nuxt), JavaScript/TypeScript, and backend languages (Node.js, Python, and/or Golang).
  • Familiarity with observability stacks (OpenSearch, Prometheus, Grafana, Loki).
  • Proficiency in API design (REST), schema evolution, and integration patterns, with automated testing.
  • Experience building ML platforms or self-service internal infrastructure tools focused on efficiency, resiliency, and observability.
  • Clear written and verbal communication, strong problem-solving, and growth mindset.
  • Experience leveraging AI-assisted development tools (e.g., Cursor).

Skills

Required:Web architecture leadershipCloud platformsContainerization and orchestrationFrontend frameworksBackend languagesAPI designCommunication & collaboration
Nice to have:Observability stacksML platforms / self-service infra

Benefits

  • Benefits package (as referenced in job posting)
  • Equity eligibility
Last updated Jul 10, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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