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Node Operator Jobs (NOW HIRING)

Filevine

Senior Software Development Engineer - Node

$125K - $165K/yr

Powered by LOIS , the Legal Operating Intelligence System, Filevine connects context across every ... Developing web based applications using technologies such as Node , React, Redis, MS SQL ...

Strategio Inc.

Senior Kubernetes Engineer

Manhattan, NY · On-site

$119K - $162K/yr

You will take ownership of large‑scale Kubernetes environments operating within secure ... Troubleshoot scheduling bottlenecks, node scaling delays, resource contention, and cascading ...

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How much do node operator jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for node operator in the United States is $58.23, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $63.70 per hour, depending on experience, location, and employer.

What is a node operator?

A node operator is a person or organization responsible for managing and maintaining a computer node within a blockchain or network. This role involves ensuring the node's uptime, security, and proper functioning, often requiring technical skills and knowledge of network protocols. Node operators may earn rewards or fees for supporting the network's infrastructure.

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Infographic showing various Node Operator job openings in the United States as of September 2026, with employment types broken down into 47% Full Time, 51% Part Time, 1% Contract, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $121,124 per year, or $58.2 per hour.

Senior Systems Software Engineer, CUDA Driver - Multi-Node and Memory Model

Austin, TX • On-site

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

$121K - $160K/yr

Full-time

Re-posted yesterday

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

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 modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world.

Join us at the forefront of technological advancement. Are you a motivated system software engineer with a deep understanding of device drivers, memory coherency & consistency models, phenomenal C/C++ skills, and an interest in multi-node scalability. If so, this role might be for you.

We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality. What you'll be doing: As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world.

You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA. Evangelize, architect, and implement new features related to CUDA's memory model and multi-node scalability geared towards next-gen AI applications and deployments Coordinate and drive development efforts across multiple teams Help define forward-looking improvements to the CUDA APIs and programming model Write effective, maintainable, and well-tested code Develop code for multiple operating systems What we need to see: BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience) Strong C and C++ programming skills Minimum of 8 years of related development experience (multiple positions for varying experience levels open) Experience driving projects across multiple teams Experience working with large codebases Background with operating system interfaces for threads, process control, and virtual memory Experience writing and debugging multithreaded programs Good written communication as well as presentation skills Ways to stand out from the crowd: Prior experience with parallel computing, PyTorch, low-latency AI inference Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO Knowledge of memory coherence and consistency models Background with kernel mode development Experience with Linux, or Windows Systems Software development Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits. Applications for this job will be accepted at least until September 4, 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.

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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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