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Remote Nvidia Research Jobs (NOW HIRING)

Nvidia

Senior Customer Success Engineer - DGX Cloud

$56.50 - $73/hr

... with NVIDIA's internal research and product teams to accelerate AI workload development. As a ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

Nvidia

Senior Software and System Architect

New York, NY · On-site +1

$141K - $192K/yr

... Nvidia teams around the world including software and hardware architects, R&D, product teams ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

Nvidia

Senior Software and System Architect

Santa Clara, CA · Remote

$152K - $206K/yr

... Nvidia teams around the world including software and hardware architects, R&D, product teams ... Remote Your base salary will be determined based on your location, experience, and the pay of ...

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 ... We are open to remote work. We look forward to having you join our team! Your base salary will be ...

Nvidia

$135K - $181K/yr

NVIDIA Dynamo is a high-throughput, low-latency inference framework for serving generative AI and ... Deep understanding of memory hierarchies (GPU HBM, host DRAM, SSD, and remote/object storage) and ...

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$106K

$142.5K

How much do remote nvidia research jobs pay per year?

As of Aug 26, 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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Remote Nvidia Research jobs near you
Infographic showing various Remote Nvidia Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $106,012 per year, or $51 per hour.

Developer Relations Manager - Artificial Intelligence

NVIDIA

Remote

Other

Posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Job description

UK, Remote

Full time

JR2007878

We are looking for a Developer Relations Manager - Artificial Intelligence passionate about developing modern Artificial Intelligence, and Generative AI applications with a leading CSP. Focus will be on Deep learning, which is making a major impact across research and industry. This Developer Relations Manager will lead our partnerships with developers, within a large partner, and work with engineering, research, applications, and new initiatives. We need creative people who want to build a career at the intersection of AI, machine learning, deep learning, and data analytics. Development Relations Manager should be passionate about innovation, building and driving engineering partnership and strategies to integrate NVIDIA technologies throughout the applications. This position will be a combination of developer advocacy, product management and business development. You and the CSP team are responsible for leading engineering integration and go-to-market activities with a multi-functional team of engineers, product, and marketing partners. You will work closely with many groups within NVIDIA, including Solutions Architects, Software Developers, HW & SW Architecture, and our product and marketing teams. In this role, you can expect high visibility with NVIDIA senior leaders, given the strategic priority for developing computing platform for deep learning and AI. What You'll Be Doing

  • Lead and develop NVIDIA developer strategy with multi-functional team: Product, Engineering, Applied Research, Marketing, and Sales.

  • Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space. Lead strategic relationship with key influential researchers, leading product teams, leading developers focused new initiatives.

  • Establish strategic relationships with Partner/CSP engineering leads & developers, dedicate yourself to making them successful. Turn features requests into actionable engineering and product steering.

  • Understand application workflow and architectural requirements to enable GPU based workloads acceleration. Integrate NVIDIA GPU acceleration into CSP Applications. Be alert to the competitive landscape and communicate internally.

  • Create strategic partnership and build community by attending research conferences and hosting technical meetups. Host developers summits; AI, Deep Learning, HPC, Professional Visualization. Engage industry events to speak, collect requirements, establish relationships, showcase NVIDIA GPU accelerated solutions.

What We Need To See

  • BS/MS/PhD in Computer Science or Engineering or equivalent experience.

  • 15+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology.

  • Good technical understanding of Generative AI, high-performance computing, database analytics.

  • Solid understanding of machine learning, deep learning, artificial intelligence platforms and ecosystems.

  • Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers.

Ways To Stand Out From The Crowd

  • Demonstrated excellent interpersonal skills (both verbal and written) and evidence of your ability to represent NVIDIA externally.

  • Excellent social, planning and prioritization skills.

  • You are a self-starter with approach for growth and passion for continuous learning.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you're creative and autonomous, we want to hear from you!

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry.

Learn more about NVIDIA .

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Hours and flexibility

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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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