ZipRecruiter

Log In

1

Online Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Senior Art Director, Events

Santa Clara, CA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Please provide a PDF or online portfolio showcasing 5-10 design samples, which will be requested ...

New

Nvidia

Graphic Design Generalist

Santa Clara, CA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... A PDF or online portfolio with 5-10 design samples will be requested during the interview process.

next page

Showing results 1-20

All JobsOnline Nvidia Engineering Jobs

Online Nvidia Engineering information

See salary details

$46.5K

$146.9K

$174K

How much do online nvidia engineering jobs pay per year?

As of Jul 18, 2026, the average yearly pay for online nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by engineers working in online Nvidia engineering roles, and how can they be addressed?

Engineers in online Nvidia roles often encounter challenges such as optimizing performance for GPU-accelerated applications in cloud environments, ensuring security and scalability, and integrating with rapidly evolving technologies. Collaboration across distributed teams and effective communication are key to addressing these challenges. Staying updated with Nvidia’s latest frameworks and participating in peer code reviews can also help engineers adapt to changes and maintain high-quality standards.

What are Online Nvidia Engineers?

Online Nvidia Engineers are professionals who develop, maintain, and optimize software, systems, or platforms that leverage Nvidia technologies, particularly in cloud or online environments. They often work with Nvidia GPUs, CUDA, and related frameworks to accelerate computing tasks, support AI and machine learning workloads, and ensure high performance for online applications. These engineers collaborate with software developers, data scientists, and IT teams to deploy scalable solutions that utilize Nvidia hardware and software, often in data centers or cloud infrastructures.

What is the difference between Online Nvidia Engineering vs Online Nvidia Data Scientist?

AspectOnline Nvidia EngineeringOnline Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU architecturesBachelor's or Master's in Data Science, Statistics, or related; knowledge of machine learning
Work EnvironmentCollaborative teams, remote or on-site, focusing on hardware and software developmentData analysis, model development, often remote, focusing on data insights and algorithms
Employer & Industry UsageTech companies, hardware manufacturers, AI research labsTech firms, AI companies, research institutions

Online Nvidia Engineering primarily involves designing and developing GPU hardware and related software, requiring engineering credentials. In contrast, Online Nvidia Data Scientists focus on analyzing data, building models, and deriving insights, requiring data science expertise. Both roles are integral to Nvidia's AI and tech ecosystem but differ in focus and skill set.

What are the key skills and qualifications needed to thrive as an Online Nvidia Engineer, and why are they important?

To thrive as an Online Nvidia Engineer, you need a strong background in computer engineering, programming (especially C++ and Python), and a deep understanding of GPU architectures, often with a relevant degree in computer science or electrical engineering. Familiarity with Nvidia software stacks like CUDA, TensorRT, and development tools such as Git, Jenkins, and cloud platforms is typically required, along with certifications like Nvidia Deep Learning Institute credentials. Exceptional problem-solving, collaboration, and communication skills help you excel in cross-functional teams and adapt to fast-evolving technologies. These skills are critical for creating innovative, high-performance solutions and ensuring the reliability and scalability of Nvidia's online systems.
What cities are hiring for Online Nvidia Engineering jobs? Cities with the most Online Nvidia Engineering job openings:
What are the most commonly searched types of Nvidia Engineering jobs? The most popular types of Nvidia Engineering jobs are:
What states have the most Online Nvidia Engineering jobs? States with the most job openings for Online Nvidia Engineering jobs include:
Online Nvidia Engineering jobs near you
Senior C++ and Build Engineer - DC System Software

Senior C++ and Build Engineer - DC System Software

Nvidia

Champaign, IL • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies

Job description

NVIDIA is looking for outstanding software engineers to help us expand our enterprise GPU management and monitoring tools. In this role you will work closely with the broader NVIDIA team to design and build Linux-based management agents, CLI tools and end-to-end integration solutions that combine GPUs with the rest of the data center software management ecosystem. You will also help maintain our containerized build environment, build process, CI/CD pipelines and infrastructure, and packaging.

We are focused on supporting NVIDIA products across HPC, cloud and enterprise on both bare metal and virtualized platforms as the role of GPUs in all of these environments expands rapidly. Your contributions will span many aspects of GPU system integration, including telemetry and metrics, health checks, diagnostics, configuration, accounting and policy. These tools fill roles of both passive background monitoring and active online management with a core emphasis on operational transparency and seamless integration in customer environments. Your code will support single node developer systems through large clusters with thousands of nodes. To be successful you will need to have a strong Linux C/C++ background, familiarity with distributed software development and a proven work ethic. You will be expected to jump in quickly and provide important contributions from day one. This is a dynamic work environment with many exciting opportunities awaiting. NVIDIA GPUs are central to many hot trends in the enterprise, cloud and datacenter. Come join us as we craft the future of accelerated compute and AI.

What you'll be doing:

  • Develop robust, scalable C++ user space data center management system software under Linux

  • Build and maintain user-space libraries, agents, plugins, bindings and CLI tools

  • Enable GPU management integration with the OSS ecosystem, including Kubernetes and Docker

  • Maintain build and CI/CD processes to deliver our product on CUDA-supported OSes.

  • Support internal and external users through bug fixes, documentation and feature improvements

  • Maintain high quality products through robust test coverage and smart design

What we need to see:

  • BS or higher in Computer Science or equivalent experience.

  • 5+ years of meaningful industry experience with a strong C++ development background

  • User space development and debugging expertise under Linux environments

  • Experience packaging software for Linux package managers (DEB and RPM)

  • Experience using Kitware utilities to manage builds (CMake, CPack, CTest)

  • Experience with APIs and interface design

  • Outstanding written and verbal interpersonal skills. Strong motivation and commitment to learn new skills

  • Ability to execute all aspects of the software development lifecycle. Ability to manage time in a fast, heavily multitasked environment

Ways to stand out from the crowd:

  • Development experience with python, go, and rust. Experience developing CI/CD pipelines using GitLab-CI, GitHub Actions, or Jenkins

  • Experience developing containerized environments using Docker (buildx, bake, BuildKit), Exposure to GPU programming with CUDA

  • Experience developing playbooks, roles, and modules for Ansible configuration. Experience with RESTful web services using CLI tools

NVIDIA is widely considered one of the world's most desirable employers in technology. We have some of the world's most forward-thinking and passionate people working for us. If you're creative and autonomous, we want to hear from you!

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 July 7, 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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply