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Remote Nvidia Hardware Engineer Jobs (NOW HIRING)

At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the hardware becomes more capable, it is crucial to make it easy for users to get the best performance as ...

NVIDIA is searching for a highly motivated, creative engineer with direct experience in Linux ... Collaborate directly with the Linux kernel community to make patches in support of NVIDIA hardware.

At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the hardware becomes more capable, it is crucial to make it easy for users to get the best performance as ...

At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the hardware becomes more capable, it is crucial to make it easy for users to get the best performance as ...

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the ... NVIDIA's hardware architecture. This means designing and building things like new abstractions ...

Senior Software Engineer, Matrix Multiplication

OR · On-site +1

$122K - $161K/yr

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the ... NVIDIA's hardware architecture. This means designing and building things like new abstractions ...

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the ... NVIDIA's hardware architecture. This means designing and building things like new abstractions ...

$122K - $161K/yr

... NVIDIA's hardware architecture. This means designing and building things like new abstractions ... Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries ...

... NVIDIA's hardware architecture. This means designing and building things like new abstractions ... Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries ...

Senior Software Engineer, Matrix Multiplication

OR · On-site +1

$122K - $161K/yr

... NVIDIA's hardware architecture. This means designing and building things like new abstractions ... Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries ...

... NVIDIA's hardware architecture. This means designing and building things like new abstractions ... Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries ...

Senior LLVM Compiler Engineer

OR · On-site +1

$104K - $143K/yr

We are seeking for an expert Senior Compiler Engineer to join our Compute Compiler Team, with a ... NVIDIA hardware and software requirements into upstreamviable compiler solutions Help shape NVIDIA ...

... of NVIDIA's hardware and software platforms. Growing and Mentoring Your Team: Build a distributed world-class team of performance engineers. Grow domain, hardware and software expertise within your ...

$54.50 - $72/hr

We are working with the latest NVIDIA hardware and technologies. We do full stack benchmarking for ... Sc degree in Computer Science / Software engineering or equivalent experience. * 5+ years of ...

Showing results 21-40

Remote Nvidia Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do remote nvidia hardware engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote nvidia hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What does a remote Nvidia hardware engineer do?

A Remote Nvidia Hardware Engineer focuses on designing, developing, and testing hardware components and systems for Nvidia products, such as graphics processing units (GPUs) and related technologies, while working from a remote location. They collaborate with cross-functional teams to ensure hardware solutions meet performance, reliability, and efficiency standards. Their work may include circuit design, board layout, hardware debugging, and supporting the integration of Nvidia hardware into various devices. Remote engineers use digital communication and collaboration tools to work effectively with global teams and contribute to innovative hardware solutions.

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

To thrive as a Remote Nvidia Hardware Engineer, you need a strong background in electrical or computer engineering, experience with GPU architecture, and proficiency in hardware design and validation. Expertise with tools such as Verilog/VHDL, simulation environments, and familiarity with Nvidia’s development platforms or relevant certifications is common. Strong problem-solving abilities, effective remote communication, and collaborative teamwork skills set top candidates apart. These competencies ensure efficient development, troubleshooting, and innovation in high-performance hardware solutions within distributed teams.

What are some common challenges faced by remote Nvidia hardware engineers, and how can they be addressed?

Remote Nvidia Hardware Engineers often encounter challenges related to effective collaboration and communication, especially when working on complex hardware design and testing with distributed teams. Staying aligned with project milestones, ensuring access to necessary hardware resources, and troubleshooting remotely can also be demanding. These challenges can be addressed by leveraging robust collaboration tools, maintaining clear documentation, and scheduling regular virtual meetings to synchronize efforts. Additionally, using remote desktop solutions and cloud-based simulation environments can help bridge the gap when physical access to hardware is limited.

What is the difference between Remote Nvidia Hardware Engineer vs Remote Nvidia Software Engineer?

AspectRemote Nvidia Hardware EngineerRemote Nvidia Software Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, Computer Engineering, or related; hardware design certificationsBachelor's or higher in Computer Science, Software Engineering, or related; programming certifications
Work EnvironmentDesigning and testing hardware components, collaborating with hardware teamsDeveloping software, drivers, and algorithms for Nvidia products
Industry UsageHardware development for GPUs, AI accelerators, and embedded systemsSoftware development for drivers, SDKs, and AI frameworks

The main difference is that Remote Nvidia Hardware Engineers focus on designing and testing physical hardware components, while Remote Nvidia Software Engineers develop the software that runs on Nvidia hardware. Both roles require technical expertise but differ in their focus areas within the Nvidia ecosystem.

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For Remote Nvidia Hardware Engineer jobs, the most frequently searched job titles are:

Infographic showing various Remote Nvidia Hardware Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Distinguished Engineer - Dynamo

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 28 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

We are currently seeking a senior-level Engineer with distinguished expertise to join the Dynamo engineering team. As a Distinguished Engineer, you will be a key technical leader, helping drive technology and product direction, provide deep technical expertise and guidance to the team and NVIDIA at large, and have a material impact on the next generation of inference on NVIDIA hardware. At NVIDIA, we believe that inference will be driving increasing amount of compute, and as the hardware becomes more capable, it is crucial to make it easy for users to get the best performance as easily as possible.

NVIDIA Dynamo helps users achieve state-of-the-art performance, using advanced techniques such as disaggregated serving, KV-aware routing, and others. As inference extends across modalities such as image, video and audio, the need for Dynamo only increases. What you will be doing: Contribute to the Dynamo family of open source projects.

Serve as a technical expert in AI inferencing, helping to push the frontier of what's possible. Represent Dynamo and NVIDIA with customers, partners and the AI community. Lead critical initiatives around resiliency, performance and scalability for Dynamo and AI inference.

Build and drive Dynamo to continue being a production-ready, data center-scale AI inferencing platform. Collaborate with diverse partner teams at NVIDIA across storage, networking, hardware and performance. Keep abreast of the latest advancements in AI/ML infrastructure technologies, frameworks, and effective strategies, and promote their implementation within the company.

What we need to see: BS, MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Artificial Intelligence or a related field. 18+ years of Proven experience in systems software engineering Expertise in the AI inference space, such as operating production inference systems at scale, working on inference engines, or similar. Experience serving as a senior technical leader in an organization, with the ability to lead through influence.

Proficiency in programming languages such as Rust, Python, and Go, as well as familiarity with cloud computing platforms (e.g., AWS, GCP, Azure). Excellent problem-solving skills, showing proficiency in analyzing complex systems, identifying bottlenecks, and implementing scalable solutions. Excellent communication and collaboration skills, demonstrating effectiveness in working with diverse teams and individuals

Ways to stand out from the crowd: Experience in production-grade infrastructure, knowing how to take into account observability, resilience and operations. Enthusiasm for continual learning and keeping abreast of new technologies and effective approaches within the AI/ML systems domain. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers.

We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, 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 320,000 USD - 488,750 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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

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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