ZipRecruiter

Log In

1

Online Nvidia Engineering Jobs (NOW HIRING)

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
Developer Advocate - Reinforcement Learning

Developer Advocate - Reinforcement Learning

Nvidia

Santa Clara, CA

Full-time

Posted 3 days ago

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

The NVIDIA developer marketing group is looking for a developer advocate who is passionate about working with innovative technology, building well-documented inspirational demos, and sharing that code with the AI community. Our team is deeply committed to championing the developer ecosystem that builds applications on NVIDIA's platform. We need a candidate who understands developers and works with the developer marketing on launching new technology.

Do you have the rare blend of both engineering and marketing skills? We need hard-working and creative people who are passionate about teaching our developer community how to employ accelerated computing. If you aspire to this calling, we would love to learn more about you!

What you'll be doing:

  • Create impactful and relevant content (e.g., demos, blogs, presentations, videos, etc.) and engage with developers, researchers, and students at events online or in person.

  • Collaborate with the product marketing team to launch emerging technology, write code, and share it with the community to inspire developers.

  • Actively participate on public-facing NVIDIA channels, including forums, Discord, and social media, helping developers understand our demos and encouraging them to build their own applications.

  • Some travel may be required to present at trade shows and conferences.

What we need to see:

  • Bachelor's degree in Computer Science or related field (or equivalent experience).

  • 5+ years of relevant experience, including 3 years of engineering experience (or equivalent).

  • World-class communication and presentation skills with a proven track record of articulating the value proposition of an emerging technology.

  • Experience presenting to technical audiences and writing developer-facing content. You will be asked to provide samples of prior work.

  • Ability to design and implement Reinforcement learning and post-training pipelines for LLM to improve model reasoning, safety, and instruction-following capabilities.

  • Strong programming skills with the ability to develop easy-to-understand examples on training pipeline using AI frameworks such as PyTorch, JAX, and NeMo-RL

  • Ability to prioritize and work through constantly evolving projects that strive to demonstrate the benefits of new, potentially unstable technology.

Ways to stand out from the crowd:

  • In-depth knowledge of software architecture, system design, and application development.

  • Hands-on experience popular reinforcement learning libraries such as Unsloth, TRL, OpenRLHF.

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 May 18, 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.

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