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Nvidia Deep Learning Jobs (NOW HIRING)

Nvidia

Senior Deep Learning Compiler Engineer

Redmond, WA

$117K - $160K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and ...

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Nvidia Deep Learning information

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$11K

$83.9K

$140K

How much do nvidia deep learning jobs pay per year?

As of Jul 30, 2026, the average yearly pay for nvidia deep learning in the United States is $83,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is an Nvidia Deep Learning job?

An Nvidia Deep Learning job typically involves working with AI, machine learning, and deep learning technologies to develop, optimize, and deploy neural network models. Employees in these roles may work on GPU acceleration, AI frameworks like TensorFlow and PyTorch, and specialized hardware like NVIDIA GPUs and TensorRT. Positions can range from research scientists and software engineers to AI infrastructure specialists, focusing on improving model performance and scalability. These professionals contribute to cutting-edge AI applications in fields like autonomous vehicles, healthcare, and robotics.

What are the main challenges faced by professionals working in Nvidia Deep Learning roles?

Professionals in Nvidia Deep Learning positions often encounter challenges such as optimizing deep learning models to run efficiently on GPU architectures, keeping up with rapidly evolving AI frameworks, and troubleshooting complex system-level integration issues. They may also need to balance tight project deadlines with the demands of rigorous research and experimentation. Collaboration with interdisciplinary teams—such as software developers, data scientists, and hardware engineers—is common and essential to deliver robust solutions. Overcoming these challenges helps professionals stay at the forefront of innovation in the AI and deep learning industry.

What are the key skills and qualifications needed to thrive in the Nvidia Deep Learning position, and why are they important?

Excelling in an Nvidia Deep Learning role requires a strong background in computer science, machine learning, and mathematics, often supported by an advanced degree in a related field. Expertise in deep learning frameworks (such as TensorFlow or PyTorch), CUDA programming, and experience with Nvidia GPU hardware are typically expected, along with relevant certifications like Nvidia Deep Learning Institute credentials. Strong analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this position. These skills are crucial to efficiently develop, optimize, and deploy deep learning models leveraging Nvidia technologies in cutting-edge applications.

More about Nvidia Deep Learning jobs
What cities are hiring for Nvidia Deep Learning jobs? Cities with the most Nvidia Deep Learning job openings:
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What job categories do people searching Nvidia Deep Learning jobs look for? The top searched job categories for Nvidia Deep Learning jobs are:
Nvidia Deep Learning jobs near you
Infographic showing various Nvidia Deep Learning job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Senior Infrastructure Software Engineer, Deep Learning Libraries

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Re-posted 27 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 246 rated software companies

Job description

We are now looking for a Senior Infrastructure Software Engineer for Deep Learning Libraries!

NVIDIA's Deep Learning Libraries Group is seeking excellent software engineers to enable the next wave of NVIDIA's highest performing deep learning libraries. The role spans multiple products, including cuDNN, TensorRT, and CUDA kernel libraries. The mission is to design and develop scalable, modular infrastructure that streamlines development, builds, and tests across NVIDIA's diverse set of platforms, from Drive AGX for autonomous vehicles to DGX servers for datacenters and large language models. Join our technically diverse team of software engineers and infrastructure experts to design the systems that enable NVIDIA to stay ahead of the competition as we deliver the world's fastest deep learning platforms.

What you'll be doing:

  • Designing and developing software for testing and analysis of our codebases

  • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries

  • Developing throughout the software stack, from the user experience and user interfaces down to the cluster and database layers

  • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc.)

  • Develop front-end solutions using HTML, CSS, JavaScript, and related web technologies

  • Advancing the state of the art in those industry-standard tools

What we need to see:

  • A Masters Degree in Computer Science or Computer Engineering or equivalent experience.

  • 3+ years of relevant experience

  • Strong programming skills in Python (or similar) and familiarity with C/C++ development

  • Experience setting up, maintaining, and automating continuous integration systems (e.g. Jenkins, GitHub Actions, GitLab pipelines, Azure DevOps)

  • Experience in HTML5, CSS, NodeJS, or React

  • Fluency in SCM (e.g. Git, Perforce) and build systems (e.g. Make, CMake, Bazel)

  • Background with distributed systems and cluster/cloud computing, especially with Kubernetes

Ways to stand out from the crowd:

  • Prior experience designing and developing automation in Jenkins with Groovy (or similar)

  • Track record of identifying useful new technologies and incorporating them into SW development flows

  • A strong understanding of unit and integration test frameworks and experience with crafting them

  • Experience with mobile/embedded platforms and multiple operating systems (Ubuntu, RedHat, Windows, QNX, or similar)

This is an opportunity to have a wide impact at NVIDIA by improving development velocity across our many AI/DL/Compute Software projects. Are you creative, driven, and autonomous? Do you love a challenge? If so, 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 June 28, 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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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