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Remote Nvidia Research Jobs in California (NOW HIRING)

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 ...

About the job Mercor connects elite creative and technical talent with leading AI research labs ... Remote Role Responsibilities * Analyze and optimize GPU kernels for performance, efficiency, and ...

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Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

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Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

New

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

New

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

New

Remote Job Overview We are seeking experienced CUDA Engineering Experts to support a cutting-edge ... Experience using GPU profiling tools such as NVIDIA Nsight or similar. * Strong understanding of ...

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CUDA Kernel Engineer (Remote US)

San Francisco, CA · On-site +1

$164K/yr

... researchers. We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch . You will work on the GPU performance layer powering ...

Machine Learning Engineer

CA · Remote

$80 - $100/hr

Remote Hours: 20 hours per week Compensation: $80-$100/hour About the Role We are seeking a Machine ... Translate research prototypes into reliable, production-ready systems. * Implement performance ...

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Remote Nvidia Research information

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.

What are the most commonly searched types of Nvidia Research jobs in California?

The most popular types of Nvidia Research jobs in California are:

What cities in California are hiring for Remote Nvidia Research jobs?

Cities in California with the most Remote Nvidia Research job openings:

Senior Customer Success Engineer - DGX Cloud

Nvidia

Santa Clara, CA • Remote

$65 - $83.75/hr

Full-time

Posted 23 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

The DGX Cloud organization bridges customer success and cloud infrastructure engineering, partnering directly with NVIDIA's internal research and product teams to accelerate AI workload development. As a Customer Success Engineer, you'll embed deeply with internal customers - gaining a thorough understanding of their applications and translating that knowledge into architectural guidance, best practices, and hands-on solutions. This role sits at the unique intersection of solutions architecture and platform strategy: you'll write code, build tooling, and help shape NVIDIA's GPU capacity management from the inside. Working across Engineering, Product, Finance, and Operations, you'll connect infrastructure roadmaps to business needs in a way that directly influences how NVIDIA's most advanced AI teams move faster. If you thrive where deep technical work meets high-stakes collaboration, this role was built for you.

What you'll be doing:

  • Design and implement distributed cloud infrastructure at scale - spanning compute, storage, networking, and GPU capacity management across IaaS, PaaS, and SaaS models zendesk

  • Partner with internal research and product teams to understand workloads from both a technology and business perspective, providing architectural guidance that drives their success

  • Contribute code directly when needed to move projects forward, and codify working patterns into tools, playbooks, and building blocks that others can reuse

  • Build and maintain agentic tooling to automate operational workflows and infrastructure resource management

  • Analyze the DGX Cloud ecosystem to understand current customer demand and future capacity needs, driving infrastructure efficiency initiatives in partnership with Engineering, Finance, and Product

  • Present technical roadmaps, architecture decisions, and demos to internal stakeholders and NVIDIA leadership, driving cross-functional consensus on infrastructure strategy

What we need to see:

  • BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.

  • 12+ years of experience designing and building distributed systems and cloud infrastructure, with demonstrated experience in GPU capacity management for high-performance computing

  • Demonstrated ability to write production code in Golang, Java, C, C++, Python, or Rust

  • Experience with Kubernetes and/or distributed task scheduling

  • Strong background in Infrastructure, Networking, Storage, and DevOps scripting/tooling

  • Experience deploying AI/ML workloads at scale

  • Strong communication and relationship-building skills, with a demonstrated ability to drive cross-functional consensus and align stakeholders across departments

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. 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.
#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 200,000 USD - 322,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 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


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