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Remote Nvidia Deep Learning Jobs (NOW HIRING)

Nvidia

Solutions Architect - MedTech

$64.50 - $85/hr

NVIDIA's platform for machine learning, deep learning, and high-performance computing hasgreatly impactedhealthcare. It is widely used by device manufacturers, academic medical centers, and start-ups.

Nvidia

Senior Software Engineer, Matrix Multiplication

OR · On-site +1

$122K - $161K/yr

Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams * Contributing to open source communities like FlashInfer, vLLM, and ...

Nvidia

Senior AI Software Engineer, Kernel Libraries

$125K - $165K/yr

Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams * Contributing to open source communities like FlashInfer, vLLM, and ...

Nvidia

$122K - $161K/yr

Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams * Contributing to open source communities like FlashInfer, vLLM, and ...

Nvidia

At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to ...

Nvidia

Applied Agentic AI Lead, Partner Co-Design

... NVIDIA's stack across the initiatives that matter most to their business. This role demands versatility at the intersection of platform strategy, strong Deep Learning fundamentals with hands-on ...

Nvidia

Senior Performance Engineer - DGX Cloud

OR · On-site +1

$104K - $143K/yr

Hands-on experience with deep learning frameworks such as PyTorch or JAX/XLA * Deep understanding of system-level performance analysis, workload characterization, and optimization NVIDIA leads the ...

Nvidia

Senior Solutions Architect, Supercomputing

NVIDIA's platforms for machine learning, deep learning and high-performance computing have already made a major impact and are broadly used across leading companies and start-ups. Our success has ...

Nvidia

Senior Software Engineer, AI Storage

$125K - $165K/yr

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

Nvidia

$104K - $143K/yr

NVIDIA Math Libraries team is looking for a senior engineer to join our development efforts in the ... Applications of these technologies are in healthcare, NLP, VR, deep learning, autonomous vehicles ...

Nvidia

Senior Software Engineer, Networking DGX Cloud

$125K - $165K/yr

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

Nvidia

Solutions Architect, Agentic Optimization

$64.50 - $85/hr

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model ... Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and ...

Nvidia

$122K - $161K/yr

NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ...

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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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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.

Solutions Architect - MedTech

Nvidia

Remote

$64.50 - $85/hr

Full-time

Re-posted 3 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

As a Solutions Architect within the Healthcare team, you will be leading the transformation of the industry. You will collaborate with MedTech customers to unlock AI and high-performance computing potential.Our teamcomprises ofbest-in-class scientists and developers who enjoy working with thelatest inhardware and software. NVIDIA's platform for machine learning, deep learning, and high-performance computing hasgreatly impactedhealthcare. It is widely used by device manufacturers, academic medical centers, and start-ups.

This role requires becoming a trusted technical advisor and leader to our customers who are using accelerated computing and artificial intelligencetransformthe entire healthcare domain and patient care.You'llcraft groundbreaking proof-of-concept demonstrations and forge strategic relationships with key executives to champion the integration of AI, whether at the edge or in the cloud. By engaging with a diverse group of developers, researchers, data scientists, and IT leaders,you'llnot only contribute to meaningful projects but also help shape the narrative of AI in healthcare. Ifyou'reready to be part of a teamthat'sredefining an industry and improving lives, NVIDIA is your platform to shine!

What you will be doing:

  • Partner with our business/account team working with customers to develop a keen understanding of their goals, strategies, and technical needs and to help define and deliver high-value solutions.

  • Stay up to date on the state of the art in image/video analysis and sensor processing to apply the latest advancements in the field to customer needs.

  • Technical Problem Solving: Diagnose and resolve system issues and performance bottlenecks across the full AI stack, frominitialmodel selection to large-scale deployment.

  • Multi-functional Collaboration: Work alongside NVIDIA's internal engineering, research, and product teams to resolve critical partner challenges and speed up shared achievements.

  • Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects, to writing whitepapers, blogs, and wiki articles, to simply working through hard problems with a customer on a whiteboard.

  • Partner strategically with industry-specific solution partners targeting our computing platform.

  • We make heavy use of conferencing tools, but some travel isrequiredfor this role. You are empowered to find the best way to get your job done and make our customers successful.

What we need to see:

  • MS, PhD or equivalent experience in Biomedical Engineering, Electrical Engineering, Computer Science,Mathematicsor closely related fields.

  • 3+ years of work-related experience in software development, machinelearningor high-performance computing.

  • Scientific computing experience including software development in scientific programming languages like C/C++, Python, and/or CUDA.

  • Expertisein streaming data processing.

  • Experience with modern Deep Learning software architecture and frameworks.

  • Excellent communication skills particularly in the presentation of highly technical material.

  • Must enjoy interacting with forward-thinking people, life-long learning, and staying at the forefront of the domain.

  • Up to 15% travel may be required.

Ways to stand out from the crowd:

  • Experience in the video or multi-modal data processing within the healthcare domain.

  • Experience with medical device development lifecycle orSaMDs.

  • Extensive deep learning knowledge with practical experience with relevant frameworks and model architectures (e.g., CNNs, LLMs, VLMs, VLAs), training robotic policies, training from simulation / Digital Twins.

  • Proficiencyin deploying AI models andoptimizinginference usingTensorRT, ONNX Runtime, Triton, orTensorRT-LLM is a plus.

  • Published record of thought leadership in a technical area or industry segment.

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 14, 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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