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NVIDIA

Enterprise Product Engineer - Fullstack

NVIDIA is hiring an Enterprise Product Engineer - Fullstack in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AI agents.
  • Level classifies it as a senior role.
  • Level lists 2,600+ other open roles at NVIDIA.
  • The role was posted in the last few days.

AI in this role

ai-agents

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." Are you willing to challenge yourself, and build phenomenal software by working with the smartest people in the world? Join us at the forefront of technological advancement. We’re hiring a Senior Fullstack Engineer to develop the future of developer infrastructure with NVIDIA Brev. You’ll lead the development of dev-focused cloud tooling that unlocks GPU infrastructure across any cloud with one click. This is a high-impact role for someone who thrives on product thinking, enjoys writing polished frontend and robust backend code, and contributes actively to open source communities.

What You’ll Be Doing:

  • Design and build fullstack features with React/Next.js and Go that empower developers to launch cloud GPU environments seamlessly

  • Shape the developer experience through devtools-style thinking and customer empathy

  • Own large product surface areas end-to-end — from UI/UX flows to cloud backend APIs

  • Collaborate cross-functionally with design, product, and marketing to build great UX and landing surfaces

  • Drive OSS contributions and cultivate community engagement with our open infrastructure libraries

  • Architect scalable systems using Kubernetes, SQL, and protobuf-based APIs

  • Define and uphold best practices for code quality, testing, and release processes

What We Need to See:

  • B.S. Degree or equivalent experience

  • 8+ years of software engineering experience across both frontend and backend domains

  • Proficiency with React, Next.js, TypeScript, and modern web development practices

  • Strong backend skills in Golang with experience in Protobuf/gRPC, OpenAPI, and building APIs for distributed systems

  • Hands-on experience working with Kubernetes, cloud infrastructure (AWS/GCP/Azure), and SQL databases

  • Proven ability to lead or maintain open-source projects, with a bias for shipping

  • Strong product intuition and a history of working closely with design or product teams

  • Experience using AI agents in production to accelerate software development

  • Empathy for developers and a drive to simplify complex infrastructure into delightful experiences

Ways to Stand Out from the crowd:

  • Prior experience building developer tools, cloud platforms, or CLI/SDKs for technical users

  • Deep knowledge of container orchestration, system design, and reliability patterns

  • A track record of OSS leadership or maintainer status on high-visibility projects

NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 15, 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.

How we rate this

Enterprise Product Engineer - Fullstack at NVIDIA rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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