NVIDIA

NVIDIA

Posted via Workday

Senior Full-Stack Software Engineer

Posted Oct 29, 2026

Role at a glance

Job function
Software Engineering & IT Full-Stack Engineering
Salary
Not yet verified Check the description for pay details; an amount or pay period has not been verified.
Location
Seattle, Washington, United States
Employment
Full-time
Experience
Senior Level 5+ years of professional software engineering experience building and operating production web systems.
Education
Bachelor's degree in Computer Science or a related technical field (or equivalent experience).

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Role Summary

AI-generated

The Senior Full-Stack Software Engineer will join the AI Hub team within the DGX Cloud AI Infrastructure organization, building a unified, self-service portal that lets AI researchers manage, monitor, and optimize their usage of Managed AI research Superclusters. The role centers on owning well-scoped full-stack features end-to-end while collaborating with peers and senior engineers.

What You'll Do

  • Design, implement, and maintain full-stack features across frontend, backend services, and data layers
  • Own delivery of well-scoped components or features from design through implementation, testing, and production support
  • Contribute to system reliability, performance, and observability improvements by identifying bottlenecks and fixing issues
  • Collaborate with product managers, designers, and AI research stakeholders to translate user needs into technical solutions
  • Participate in design reviews, code reviews, and on-call rotations
  • Follow and contribute to team standards for code quality, testing, security, and CI/CD

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires 5+ years of professional software engineering experience and a bachelor's degree or equivalent experience, with full-stack, cloud, and observability skills.

Required

  • 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 with modern frontend frameworks (React / Next.js or similar), JavaScript / TypeScript, and one...
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure), containers (Docker), and basic orchestration concepts (Kubernetes)
  • Familiarity with RESTful API design, schema evolution, and integration patterns
  • Experience working with observability tools such as Prometheus, Grafana, OpenSearch, or similar
  • Strong problem-solving skills, attention to detail, and the ability to work effectively within a team
  • Clear written and verbal communication skills and a willingness to learn and grow

Preferred

  • Experience building internal platforms or self-service tools for engineers or researchers
  • Exposure to machine learning infrastructure or AI workloads (hands-on or 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

Original job description

Content provided by the employer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 30 years. Today, we're at the forefront of AI innovation powering breakthroughs in research, autonomous vehicles, robotics, and more. The DGX Cloud team builds and operates the AI infrastructure that fuels this progress. We’re looking for a Senior Full-Stack Software Engineer to join the AI Hub team within the DGX Cloud AI Infrastructure organization. The AI Hub team accelerates AI research by ensuring NVIDIA’s AI infrastructure is used efficiently, transparently, and at scale. Our focus is building a unified, self‑service “single pane of glass” portal that enables AI researchers to manage, monitor, and optimize their usage of Managed AI research Superclusters.

This role is ideal for an experienced engineer who enjoys owning well‑scoped features end‑to‑end, collaborating closely with peers and senior engineers, and building reliable, user‑facing systems that operate at scale.

What You’ll Be Doing:

  • Design, implement, and maintain full‑stack features across frontend, backend services, and data layers, meeting defined reliability, availability, and performance expectations.

  • Own delivery of well‑scoped components or features, from design through implementation, testing, and production support.

  • Contribute to system reliability, performance, and observability improvements 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 clear 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.

What We Need To See:

  • 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 experience with full‑stack development, including:

    • Modern frontend frameworks (React / Next.js or similar)

    • JavaScript / TypeScript

    • One or more backend languages such as Node.js, Python, or Go

  • Hands‑on experience with cloud platforms (AWS, GCP, or Azure), containers (Docker), and basic orchestration concepts (Kubernetes).

  • Familiarity with RESTful API design, schema evolution, and integration patterns.

  • Experience working with observability tools such as Prometheus, Grafana, OpenSearch, or similar.

  • Strong problem‑solving skills, attention to detail, and the ability to work effectively within a team.

  • Clear written and verbal communication skills and a willingness to learn and grow.

Ways to Stand Out from the Crowd:

  • Experience building internal platforms or self‑service tools for engineers or researchers.

  • Exposure to machine learning infrastructure or AI workloads (hands‑on or 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.

At NVIDIA, you’ll be immersed in a diverse, supportive environment where you’re empowered to do your best work. The DGX Cloud AI Infrastructure team is at the core of NVIDIA’s AI efforts building the software that makes scalable research possible. Join us and help power the next wave of innovation. NVIDIA provides competitive salaries and a comprehensive benefits package. Our engineering teams are expanding rapidly due to exceptional growth.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 1, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.