Jobs
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, Open Search, 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 March 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
Total Views
0
Apply Clicks
0
Mock Applicants
0
Scraps
0
Similar Jobs

Full-Stack Software Engineer, Frontier Exploration
OpenAI · San Francisco

Software Engineer- Full stack
Microsoft · Canada, British Columbia, Vancouver

Production Network Engineer, Infrastructure Automation and Tooling, Fullstack
Meta · Menlo Park, CA

Full Stack Software Engineer 5, Studio Orchestration Platform
Netflix · Los Gatos,California,United States of America

Consultant - Apps Full Stack Engineer A2
Microsoft · India, Telangana, Hyderabad; India, Karnataka, Bangalore; India, Uttar Pradesh, Noida
About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago