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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 an inclusive ...

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 ...

Turing

Remote JavaScript Developer

Manhattan, NY · Remote

$200 - $300/hr

... NVIDIA, Databricks, Palantir, Snowflake, or similar organizations pushing the boundaries of ... As a Software Engineering evaluator, you will create cutting-edge datasets for training ...

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 ...

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 ...

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 ...

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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:

Remote Nvidia Engineering jobs near you
Infographic showing various Remote Nvidia Engineering job openings in New York as of September 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Senior Software and System Architect

New York, NY • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$141K - $192K/yr

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

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. NVIDIA is looking for an experienced Senior Software and System Architect to join our Networking Software Architecture group. Nvidia's Architecture group consists of world-class architects responsible for crafting the next generation state-of-the-art architecture for our DPUs & NICs technologies.

The position includes researching new technologies with a focus on defining the architecture of groundbreaking technologies in various domains: networking, security, virtualization and orchestration. You work will play a vital role in advancing our datacenter networking and security solutions. You will be working with global teams iand have a unique opportunity to have real impact in a dynamic, technology-focused company shaping the future of data-centers technologies. Does this sound like a role you are looking for? Then we'd love to hear from you!

What you will be doing:

  • Leading architecture for cloud-networking and security solutions

  • Designing state-of-the-art system architecture for DPUs & NICs technologies

  • Building end-to-end solutions from application level to hardware level

  • Providing fast and creative solutions to complex problems

  • Writing effective, clear and reliable architecture specifications

  • Evaluating new technologies, innovating and rapidly developing proof of concept prototypes that can then be developed into full-fledged products/solutions

  • Working closely with different Nvidia teams around the world including software and hardware architects, R&D, product teams, solution architects, application and field engineers

  • Working with high profile customers on advanced and groundbreaking technologies and solutions

What we need to see:

  • B.Sc/M.Sc/Phd degree in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent experience).

  • 5+ years of experience as a Software Architect or Systems Architect; Within that, strong experience as a Software Developer.

  • Deep knowledge of and experience with C and Python

  • Hands-on Linux development experience

  • Cloud-networking experience

  • Wide knowledge and understanding of networking protocols and common network topologies

  • Strong design, coding, analytical, debugging and problem-solving skills

  • Ability to work concurrently with multiple groups locally and abroad in the organization

  • Excellent communication, documentation and presentation skills

Ways to stand out of a crowd:

  • Development experience with networking/security devices - NICs/DPUs/Switches/Routers /Firewalls

  • Good understanding of OSs and drivers

  • Background with data center technologies, network topologies and cloud

  • Experience with DPDK, OVS, OVN

  • Experience with Docker, Containers, Kubernetes components & subsystems

With competitive salaries and a generous benefits package, 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 and. due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

#LI-Remote

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 31, 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

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