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Senior Full-Stack Software Engineer

NVIDIA•Santa Clara, CA
•$152,000 - $287,500
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About The Position

NVIDIA is hiring a Senior Full-Stack Software Engineer for the AI Hub team within its DGX Cloud AI Infrastructure organization. The team builds a unified, self-service portal that helps AI researchers manage, monitor, and optimize their use of Managed AI research Superclusters, with the goal of using NVIDIA’s AI infrastructure efficiently, transparently, and at scale. The engineer will build and operate reliable, user-facing systems, owning well-scoped features end to end while collaborating with peers, senior engineers, product managers, designers, and AI research stakeholders. The work spans frontend, backend services, and data layers, and includes supporting production systems, improving reliability and observability, and applying team standards for quality, testing, security, and CI/CD. The role also offers opportunities to learn and apply modern cloud infrastructure, deployment, and monitoring practices. The position requires at least five years of professional software engineering experience building and operating production web systems, along with a bachelor’s degree in computer science or a related technical field, or equivalent experience. The base salary range is $152,000–$241,500 for Level 3 and $184,000–$287,500 for Level 4. The employee is also eligible for equity and benefits. Applications will be accepted at least until November 1, 2026. This posting is for an existing vacancy.

Requirements

  • At least 5 years of professional software engineering experience building and operating production web systems.
  • Bachelor’s degree in Computer Science or a related technical field, or equivalent experience.
  • Solid full-stack development experience, including modern frontend frameworks such as React or Next.js (or similar), and JavaScript or TypeScript.
  • Experience with one or more backend languages such as Node.js, Python, or Go.
  • Hands-on experience with AWS, GCP, or Azure; Docker; and basic Kubernetes orchestration concepts.
  • Familiarity with RESTful API design, schema evolution, and integration patterns.
  • Experience with observability tools such as Prometheus, Grafana, OpenSearch, or similar.
  • Strong problem-solving skills, attention to detail, and ability to work effectively within a team.
  • Clear written and verbal communication skills and willingness to learn and grow.

Nice To Haves

  • Experience building internal platforms or self-service tools for engineers or researchers.
  • Exposure to machine learning infrastructure or AI workloads, hands-on or through close collaboration with ML teams.
  • Familiarity with GPU-backed systems or large-scale distributed environments.
  • Experience using AI-assisted development tools to improve productivity and code quality.

Responsibilities

  • Design, implement, and maintain full-stack features across frontend, backend services, and data layers, meeting reliability, availability, and performance expectations.
  • Own delivery of well-scoped components or features from design through implementation, testing, and production support.
  • Improve system reliability, performance, and observability by identifying bottlenecks, fixing issues, and following established best practices.
  • Collaborate with product managers, designers, and AI research stakeholders to understand user needs and translate them into technical solutions.
  • Participate in design reviews, code reviews, and on-call rotations to help maintain a high-quality, production-ready system.
  • Follow and contribute to team standards for code quality, testing, security, and CI/CD.
  • Learn and apply modern practices in cloud infrastructure, deployment, and monitoring with guidance from senior engineers.

Benefits

  • Competitive salaries and a comprehensive benefits package.
  • Equity eligibility.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

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