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Remote Nvidia Engineering Jobs in New York (NOW HIRING)

Nvidia

Senior Software and System Architect

New York, NY · On-site +1

$141K - $192K/yr

... engineer with a real passion for technology, we want to hear from you! #LI-Remote Your base salary ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work ...

YO AI Labs

CUDA Engineering Expert - Remote

New York, NY · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

Strong experience with GPU programming, particularly on NVIDIA GPUs . * Proficiency in CUDA, WebGPU, or GLSL . * Strong C++ programming skills. * Background in graphics programming, ML acceleration ...

YO AI Labs

CUDA Developer - Remote

New York, NY · Remote

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

YO AI Labs

CUDA Software Engineer - Remote

New York, NY · Remote

$60 - $100/hr

CUDA Engineering Expert Job Type: Contractor Location: Remote Job Overview We are seeking ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

CoreWeave

Senior Firmware Engineer, BIOS

New York, NY · Remote

$182K - $242K/yr

Design seamless remote firmware update and recovery pipelines for fleet-wide reliability * Lead ... Collaborate with silicon vendors (Intel, AMD, Nvidia) to orchestrate the integration and rebasing ...

vCluster Labs

AI Infrastructure Engineer

New York, NY · Remote

$140K - $165K/yr

Feedback Loop: Collaborate with Engineering and Product to surface recurring infrastructure ... GPU Fluency: Practical knowledge of NVIDIA GPU Operators, CUDA tooling, and systems-level ...

Career Renew

Senior Machine Learning Engineer

New York, NY · Remote

$165K - $225K/yr

... remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

CoreWeave

HPC Performance Engineer

New York, NY · Remote

Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs * Docker, kubernetes (k8s ... Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related ...

Counsel

Infrastructure Engineer

New York, NY · On-site +1

$180K - $225K/yr

Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) - and we're ... What You'll Bring * 3-5 years of professional experience in backend engineering, infrastructure ...

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Remote Nvidia Engineering information

What is a remote Nvidia engineer?

A Remote Nvidia Engineer is a professional who works for Nvidia, or with Nvidia technologies, from a location outside of a traditional office setting. These engineers may specialize in areas such as GPU development, AI research, software engineering, or hardware design, and they collaborate with teams virtually. Remote Nvidia Engineers use digital tools to communicate, manage projects, and contribute to cutting-edge technologies in graphics processing, artificial intelligence, and computing platforms. The remote aspect allows for flexible work arrangements and the ability to participate in global projects.

What are the key skills and qualifications needed to thrive as a remote Nvidia engineer, and why are they important?

To excel as a Remote Nvidia Engineer, you typically need a strong background in computer engineering, programming (e.g., C++, Python), and experience with GPU architectures, often supported by a relevant degree. Familiarity with Nvidia tools like CUDA, cuDNN, and deep learning frameworks, as well as proficiency in remote collaboration platforms, are crucial. Strong problem-solving skills, self-motivation, and effective communication are vital soft skills for working independently and collaborating across distributed teams. These competencies ensure efficient development, troubleshooting, and innovation in Nvidia's complex, high-performance computing environments.

What are some common challenges faced by engineers working remotely for Nvidia, and how can they be overcome?

Remote engineers at Nvidia often encounter challenges related to communication across time zones, staying aligned with fast-paced project developments, and maintaining visibility within distributed teams. To overcome these, it's important to proactively engage in virtual meetings, leverage collaboration tools like Slack and Jira, and regularly update your team on progress. Building strong relationships with peers and seeking out mentorship opportunities can also help remote engineers stay connected and advance within the company.

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

AspectRemote Nvidia EngineeringRemote Nvidia Data Scientist
Required CredentialsBachelor's in Engineering, Computer Science, or related field; experience with GPU programmingBachelor's or higher in Data Science, Statistics, or related; proficiency in machine learning and data analysis
Work EnvironmentDesign, develop, and optimize GPU hardware/software; collaborative teamsAnalyze large datasets, develop models, and generate insights; often cross-functional teams
Employer & Industry UsagePrimarily in hardware, AI, and high-performance computing sectorsPrimarily in AI, analytics, and research sectors

Remote Nvidia Engineering focuses on hardware and software development for GPUs, requiring engineering credentials and technical skills. Remote Nvidia Data Scientists analyze data and build models, requiring expertise in data science. Both roles are remote, but they serve different functions within Nvidia's ecosystem.

What are the most commonly searched types of Nvidia Engineering jobs in New York?

The most popular types of Nvidia Engineering jobs in New York are:

What are popular job titles related to Remote Nvidia Engineering jobs in New York?

For Remote Nvidia Engineering jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Nvidia Engineering jobs in New York look for?

The top searched job categories for Remote Nvidia Engineering jobs in New York are:

What cities in New York are hiring for Remote Nvidia Engineering jobs?

Cities in New York with the most Remote Nvidia Engineering job openings:

Remote Nvidia Engineering jobs near you
Infographic showing various Remote Nvidia Engineering job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Solutions Architect, AI Cloud Services

Nvidia

New York, NY • On-site, Remote

Full-time

Re-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 246 rated software companies

Job description

Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.

What you'll be doing:

  • Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA's groundbreaking software and hardware technologies.

  • Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.

  • Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.

  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

  • Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.

What we need to see:

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

  • 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.

  • Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI

  • Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.

  • Effective time management and capable of balancing multiple tasks.

  • Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

  • AWS, GCP, Azure or OCI Professional Solution Architect Certifications

  • Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.)

  • Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.

  • Solid working knowledge of Python

  • System-level experience, specifically GPU-based systems

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, 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 August 10, 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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