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Remote Nvidia Deep Learning Jobs (NOW HIRING)

Nvidia

$104K - $143K/yr

NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team ...

Nvidia

Deep Learning Compiler Engineer

OR · On-site +1

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs ...

New

Nvidia

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering ...

Nvidia

NVIDIA is seeking an exceptional Manager, Deep Learning Inference Software, to lead a world-class engineering team advancing the state of AI model deployment. You will shape the software powering ...

Nvidia

Senior Software Architect - Data Center Systems

OR · On-site +1

$129K - $175K/yr

You will lead software activities for NVIDIA's deep learning server platforms, from design through production; collaborating with teams across company to deliver software solutions * Drive the system ...

Nvidia

$122K - $161K/yr

NVIDIA seeks a Senior Software Engineer specializing in Deep Learning Inference for our growing team. As a key contributor, you will help design, build, and optimize the GPU-accelerated software that ...

Nvidia

Senior Network Reliability Engineer - DGX Cloud

$106K - $145K/yr

Engage in 24/7 global shift rotations to provide remote support for network repairs and changes ... NVIDIA's deep learning platforms have made major impact to various fields is broadly used across ...

Nvidia

Deep Learning Software is looking for a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks, with the goal of supporting NVIDIA's top AI ...

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How much do remote nvidia deep learning jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote 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 the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

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Remote Nvidia Deep Learning jobs near you
Infographic showing various Remote Nvidia Deep Learning job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 60% Full Time, and 30% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,885 per year, or $40.3 per hour.

Senior Life Cycle Engineer, PyTorch - Deep Learning

Nvidia

New York, NY • On-site, Remote

$114K - $157K/yr

Full-time

Posted 9 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 245 rated software companies

Job description

Are you passionate about building software for large-scale distributed projects? NVIDIA's Deep Learning Frameworks Teams seek Senior Software Engineers to create systems for continuous integration, testing, and delivery of advanced software stacks. Join a diverse, ambitious team focused on improving developer productivity for NVIDIA's AI software ecosystem. We ensure that key deep learning frameworks run optimally on NVIDIA hardware, enabling developers and researchers to push the boundaries of what's possible in AI.

What you'll be doing:

Join a team of experts working together to improve developer productivity for the NVIDIA driven software ecosystem. Develop and maintain continuous development systems through various software verticals spanning from end-users, through layers of open-source software, down to NVIDIA's math libraries, compilers, and drivers. This is a true software engineering role. The team creates tools and infrastructure, debugs issues as they arise, and fixes problems across the entire stack. Together, we stabilize and deliver the entire NVIDIA software stack to the world at global scale. This is a development-focused role that drives software quality and reliability without on-call duties.

What we need to see:

  • MS or PhD in Computer Science or Engineering (or equivalent experience)

  • 5+ years of experience building or supporting large software projects or equivalent

  • Proficiency in C++ and/or Python

  • Proven expertise with scripting languages

  • Experience in continuous build and release management for Linux systems

  • Development of cloud-hosted developer environments and CI/CD systems

Ways to stand out from the crowd:

  • Software development experience with many contributing teams

  • Proven experience shipping multi-cloud large-scale systems and supporting those systems in production

  • Experience with C++ build systems, including dependency issues, symbol resolution, and linking problems

  • Great people skills, including communication, empathy, dependability, patience, and persistence

  • Drive to contribute to and work with globally distributed teams

Join us at NVIDIA, where we are defining the next era of computing and making a lasting impact on the world!

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 August 16, 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

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

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