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Remote Nvidia Research Jobs (NOW HIRING)

Nvidia

Senior Solutions Architect, Generative AI

OR ยท On-site +1

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model ... We are open to remote work. We look forward to having you join our team! Widely considered to be ...

Nvidia

Senior Solutions Architect, Generative AI

OR ยท On-site +1

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model ... We are open to remote work. We look forward to having you join our team! Widely considered to be ...

Pragmatike

CUDA Kernel Engineer (Remote US)

Boston, NY ยท On-site +1

This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy ... Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions.

The Pennsylvania State University

$76.70K - $129.50K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based

The Pennsylvania State University

$109.30K - $219.60K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based

The Pennsylvania State University

$109.30K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Training and optimizing ML algorithms on GPU hardware architectures, specifically NVIDIA based

PRAGMATIKE

CUDA Kernel Engineer

New York, NY ยท Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy ...

PRAGMATIKE

CUDA Kernel Engineer

Cambridge, MA ยท Remote

Remote US Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on ... This role is ideal for someone who deeply understands NVIDIA GPU architecture, memory hierarchy ...

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How much do remote nvidia research jobs pay per year?

As of May 28, 2026, the average yearly pay for remote nvidia research in the United States is $106,012.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $104,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Nvidia Research vs Remote Nvidia Data Scientist?

AspectRemote Nvidia ResearchRemote Nvidia Data Scientist
Required CredentialsAdvanced degrees in Computer Science, AI, or related fields; research publicationsDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentResearch labs, collaborative projects, experimental workData analysis, modeling, and deployment in business settings
Employer & Industry UsageNvidia's R&D divisions, academic collaborationsNvidia's analytics teams, product development

Remote Nvidia Research focuses on innovative AI and machine learning research, often involving experimental projects and publications. In contrast, Remote Nvidia Data Scientists analyze data to inform business decisions and develop models. Both roles require technical expertise but differ in their primary objectives and work environment.

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What cities are hiring for Remote Nvidia Research jobs? Cities with the most Remote Nvidia Research job openings:
What are the most commonly searched types of Nvidia Research jobs? The most popular types of Nvidia Research jobs are:
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Remote Nvidia Research jobs near you
Infographic showing various Remote Nvidia Research job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, and 10% Part Time. Highlights an 1% Physical, and 99% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.
Senior Solutions Architect, Generative AI

Senior Solutions Architect, Generative AI

Nvidia

On-site, Remote

Full-time

Posted 23 days ago

Job description

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor!

What you'll be doing:

  • Collaborating closely with customers to improve their workload performance and reduce infrastructure costs.

  • Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed.

  • Developing and debugging software for NVIDIA and open-source AI frameworks and libraries.

  • Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.

What we need to see:

  • BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience.

  • 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.

  • Experience with profiling and optimizing model training/inference performance on GPUs.

  • Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels.

  • Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations.

  • A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing.

  • Self-starter with a passion for growth, continuous learning, and sharing insights with the team.

Ways to stand out from the crowd:

  • Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cuDNN/NCCL).

  • Experience working with enterprise developers and strong customer-facing skills.

  • Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments.

  • Experience with large-scale production data pipelines and AI model training/deployment.

  • Creative problem-solving skills for debugging and resolving complex issues.

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team!

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family: www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 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.
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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