JobsSenior Full-Stack Lead Engineer
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Senior Full-Stack Lead Engineer

NVIDIA

Location

USA (Multiple Locations)

Type

Full-time

Posted

5/10/2026

Compensation

$224,000 - $356,500 per year

Undergraduate with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025

Job description

NVIDIA is seeking a Senior Full-Stack Software Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. This team focuses on enhancing AI research by optimizing NVIDIA's AI infrastructure for efficiency and scalability. The role involves leading the development of a unified portal for AI researchers to manage their resources effectively. The engineer will also mentor team members and drive the adoption of best practices in AI/ML infrastructure.

Requirements

  • 12+ years of software engineering experience delivering production web systems.
  • Bachelor’s degree or higher in Computer Science or a related technical field.
  • Strong cross-functional collaboration skills and the ability to translate complex use cases into clear technical requirements.
  • Deep cloud expertise in AWS, GCP, or Azure, along with infrastructure as code and container orchestration.
  • Full-stack depth in modern SPA frameworks, JavaScript/TypeScript, and one or more backend languages.
  • Familiarity with observability stacks such as OpenSearch, Prometheus, Grafana, or Loki.
  • Proficiency in API design and a strong commitment to automated testing.
  • Experience building machine learning platforms or self-service internal infrastructure tools.
  • Clear written and verbal communication skills and strong problem-solving ability.
  • Experience leveraging AI-assisted development tools.

Responsibilities

  • Lead the architecture and delivery of high-scale web products across frontend, backend services, and data layers.
  • Own multi-team initiatives from problem discovery to success metrics tied to product outcomes.
  • Drive reliability, performance, and observability improvements to meet exascale standards.
  • Establish engineering standards and reusable platforms to reduce complexity and support long-term tech debt.
  • Collaborate with NVIDIA AI Research teams to enhance user experience.
  • Mentor and sponsor engineers to improve code quality and security.
  • Stay updated on AI/ML infrastructure trends and drive best practices within the team.

Benefits

  • Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.

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